Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine

Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as...

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Published inCurēus (Palo Alto, CA) Vol. 15; no. 9; p. e44658
Main Authors Iqbal, Javed, Cortés Jaimes, Diana Carolina, Makineni, Pallavi, Subramani, Sachin, Hemaida, Sarah, Thugu, Thanmai Reddy, Butt, Amna Naveed, Sikto, Jarin Tasnim, Kaur, Pareena, Lak, Muhammad Ali, Augustine, Monisha, Shahzad, Roheen, Arain, Mustafa
Format Journal Article
LanguageEnglish
Published United States Springer Nature B.V 04.09.2023
Cureus
Subjects
Accuracy
Algorithms
Artificial intelligence
Blood diseases
COVID-19
Deep learning
Dermatology
Diabetes
Disease prevention
Drug development
Drug efficacy
Electrocardiography
Healthcare Technology
Internal Medicine
Medicine
Melanoma
Neural networks
Other
Pancreatic cancer
Sleep apnea
Spectrum analysis
Support vector machines
Surgeons
Tomography
newer technology in healthcare
ai & robotics in healthcare
artificial intelligence in healthcare
modern medicine
new insights
Online AccessGet full text
ISSN2168-8184
2168-8184
DOI10.7759/cureus.44658

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Abstract Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI's precision and analysis regarding patients' genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI's contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI's capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI's impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.
AbstractList Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI's precision and analysis regarding patients' genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI's contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI's capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI's impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI's precision and analysis regarding patients' genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI's contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI's capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI's impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.
Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI’s precision and analysis regarding patients’ genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI’s contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI’s capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI’s impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.
Author Cortés Jaimes, Diana Carolina
Butt, Amna Naveed
Arain, Mustafa
Augustine, Monisha
Kaur, Pareena
Sikto, Jarin Tasnim
Lak, Muhammad Ali
Hemaida, Sarah
Iqbal, Javed
Thugu, Thanmai Reddy
Shahzad, Roheen
Subramani, Sachin
Makineni, Pallavi
AuthorAffiliation 7 Internal Medicine, Sri Padmavathi Medical College for Women, Sri Venkateswara Institute of Medical Sciences (SVIMS), Tirupati, IND
2 Epidemiology, Universidad Autónoma de Bucaramanga, Bucaramanga, COL
11 Internal Medicine, Combined Military Hospital, Lahore, PAK
1 Neurosurgery, Mayo Hospital, Lahore, PAK
3 Medicine, Pontificia Universidad Javeriana, Bogotá, COL
10 Medicine, Punjab Institute of Medical Sciences, Jalandhar, IND
14 Internal Medicine, Civil Hospital Karachi, Karachi, PAK
9 Medicine, Jahurul Islam Medical College, Kishoreganj, BGD
13 Medicine, Combined Military Hospital (CMH) Lahore Medical College and Institute of Dentistry, Lahore, PAK
5 Medicine and Surgery, Employees’ State Insurance Corporation (ESIC) Medical College, Gulbarga, IND
12 Medicine, Kasturba Medical College, Manipal, Manipal, IND
6 Internal Medicine, Istanbul Okan University, Istanbul, TUR
8 Medicine/Internal Medicine, Allama Iqbal Medical College, Lahore, PAK
4 Medicine, All India Institute of Medical Sciences, Bhuba
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Cites_doi 10.1148/radiol.2017171920
10.1056/NEJMra1814259
10.3233/SHTI230581
10.1016/j.hrthm.2018.06.037
10.1007/s40319-018-00773-x
10.4324/9781351001885
10.3390/diagnostics12123034
10.1186/s12918-016-0306-z
10.1016/j.compeleceng.2021.107524
10.1136/heartjnl-2018-313514
10.1371/journal.pdig.0000198
10.25259/SNI_877_2022
10.1111/exsy.12151
10.1097/ACM.0000000000005242
10.1016/j.ejca.2019.05.023
10.1007/s00146-021-01239-4
10.1016/j.csbj.2021.10.009
10.1038/nmeth.3547
10.4161/viru.24041
10.1097/SIH.0000000000000280
10.1080/15265161.2020.1819469
10.1001/jamadermatol.2016.4361
10.1016/j.socscimed.2020.113172
10.21037/mhealth.2017.08.07
10.2196/16048
10.1007/s44174-023-00063-2
10.1007/s12599-020-00650-3
10.1007/978-981-16-6768-8_3
10.1016/j.jmir.2019.09.005
10.5220/0010413308010808
10.1109/ISCO.2016.7726970
10.1016/j.compbiomed.2019.04.027
10.1093/bib/bbab272
10.1371/journal.pone.0248152
10.3390/cancers14215382
10.3390/life12121991
10.1038/s41598-020-80363-5
10.1038/d41586-020-03348-4
10.1186/s40360-018-0282-6
10.2147/PGPM.S205082
10.21437/Interspeech.2018-1514
10.1186/s12885-015-1492-6
10.1117/12.2293423
10.1001/jama.2009.389
10.13140/RG.2.2.11318.57929
10.3389/fonc.2021.742395
10.1016/j.intcom.2009.12.001
10.1007/s13347-020-00414-7
10.1056/NEJMp1606181
10.1016/S1473-3099(11)70313-9
10.1097/ACM.0000000000002044
10.1161/STROKEAHA.120.030326
10.1177/1062860619878515
10.15421/192121
10.1016/j.xinn.2021.100179
10.1186/s12889-017-4200-4
10.1016/j.gastrohep.2017.01.001
10.1089/tmj.2019.0066
10.1016/j.drudis.2020.10.010
10.21037/jtd-20-1837
10.1016/j.ijmedinf.2019.103978
10.1007/s11892-021-01423-2
10.1007/s00146-020-01019-6
10.1007/s13631-016-0131-9
10.2196/games.6448
10.1007/s11030-021-10217-3
10.1371/journal.pone.0173160
10.1002/widm.1485 
10.1016/B978-0-12-819246-7.00012-7
10.3389/frobt.2017.00051
10.1001/jama.2019.18058
10.1371/journal.pone.0179790
10.2196/jmir.6400
10.1177/0706743719828977
10.7861/fhj.2021-0095
10.1007/s11030-021-10256-w
10.1016/B978-0-12-818438-7.00012-5
10.1016/j.wneu.2022.04.078
10.1148/radiol.2020200905
10.3390/s20154157
10.1109/ACCESS.2022.3142100
10.1038/nbt.3300
10.1186/s13073-016-0388-7
10.2196/jmir.8099
10.1309/XMB9-K0J4-1LHL-ATAY
10.1097/JCMA.0000000000000374
10.1111/acem.12876
10.2196/mental.9782
10.3390/ijerph15050896
10.1093/ehjci/ehaa946.0156 
10.1136/bjophthalmol-2020-316845
10.48550/arXiv.2208.04690
10.1016/B978-0-12-821259-2.00022-3
10.2337/dc11-1909
10.3390/cells11142244
10.1038/s41569-020-00503-2
10.1016/S1957-2557(18)30051-8
10.2214/AJR.19.21958
10.1016/J.JID.2019.03.1067
10.1227/neu.0000000000001898
10.1016/j.dsp.2021.103196
10.7759/cureus.30318
10.1016/j.jrt.2020.100005
10.1038/s41591-018-0107-6
10.3390/cells12131755
10.3390/app11177772
10.1016/j.copsyc.2020.04.005
10.1148/radiol.2019191586
10.1177/2472630319890316
10.1136/bmjhci-2020-100302
10.3390/diagnostics12010072
10.1007/978-3-030-64246-4_5
10.3390/diagnostics11081473
10.1681/ASN.2016101103
10.1109/TMBMC.2021.3120646
10.1007/s10639-023-12009-8
10.30476/JAMP.2023.98655.1803
10.1109/CCNC.2016.7444920
10.1227/neu.0000000000001890
10.1109/ACII.2017.8273573
10.1080/17434440.2021.2013200
10.3390/jcm9072146
10.1016/j.jtho.2016.07.002
10.1145/3453175
10.2214/AJR.18.20391
10.1080/0142159X.2019.1595557
10.1016/j.jid.2020.02.026
10.1177/1203475415623513
10.1007/978-3-319-19156-0_14
10.3390/diagnostics11081402
10.1177/0846537120949974
10.1016/j.carj.2018.02.002
10.2196/diabetes.6884
10.1038/538020a
10.48550/arXiv.1810.08810
10.1109/JBHI.2014.2343154
10.1177/08404704221082069
10.1007/s40745-020-00314-9
10.3390/ijms20194781
10.3389/frai.2020.543405
10.1109/NCTM.2017.7872822
10.2196/12887
10.1016/j.eurpsy.2018.08.004
10.22259/2638-5279.0101001
10.1016/j.drugalcdep.2018.08.025
10.1038/s41598-018-33424-9
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ai & robotics in healthcare
artificial intelligence in healthcare
modern medicine
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References D'Alfonso S (ref94) 2020; 36
Geis JR (ref139) 2019; 293
Gupta R (ref156) 2021; 25
Brinker TJ (ref14) 2019; 119
Chang HY (ref22) 2020; 20
Akkus Z (ref18) 2018
Vural S (ref42) 2016; 10 Suppl 3
Lovejoy CA (ref108) 2019; 55
Cappelletti P (ref31) 2016; 12
Creutzfeldt J (ref122) 2016; 4
Nguyen MT (ref11) 2018; 8
Lyon J (ref1) 2021; 29
Obermeyer Z (ref35) 2016; 375
Han SS (ref86) 2019; 139
Ujiro T (ref96) 2018
Currie G (ref25) 2019; 50
Khakharia A (ref54) 2020; 8
Nagi F (ref116) 2023; 305
Masters K (ref117) 2019; 41
Farias FA (ref58) 2020; 26
Kratz A (ref27) 2005; 124
Paul D (ref46) 2021; 26
Desjardins B (ref141) 2020; 214
Jheng YC (ref76) 2020; 83
Paro M (ref89) 2022; 90
Mirheidari B (ref97) 2018
Balaskas A (ref107) 2021; 16
Kumar P (ref81) 2016
Liu P (ref41) 2017; 28
Gerke S (ref124) 2020
Mantena S (ref59) 2021; 28
Mostafa FA (ref12) 2022; 12
Taylor RA (ref62) 2016; 23
Olive-Gadea M (ref8) 2020; 51
Antunes AG (ref63) 2017; 40
Alattas A (ref95) 2021; 5
Grünerbl A (ref80) 2015; 19
Buolamwini J (ref142) 2018; 81
Battineni G (ref23) 2020; 9
Santosh K (ref15) 2021
Bickmore TW (ref100) 2010; 22
Mirbabaie M (ref151) 2022; 37
Comito C (ref13) 2022; 10
Siontis KC (ref65) 2021; 18
DeVault D (ref102) 2014
Beneke F (ref51) 2019; 50
Klingler C (ref67) 2017; 17
Yau JW (ref77) 2012; 35
Bajwa J (ref119) 2021; 8
Hohma E (ref66) 2021
Smith H (ref132) 2020; 36
Rathi VK (ref64) 2021; 96
Mirmomeni M (ref71) 2021
Li L (ref7) 2020; 296
Ford RA (ref134) 2016; 23
Divya S (ref105) 2018; 3
Vaidyam AN (ref131) 2019; 64
Caudai C (ref37) 2021; 19
Khan K (ref56) 2012; 12
Huang J (ref99) 2015
Baker A (ref109) 2020; 3
Sweeney C (ref106) 2021; 2
Meskó B (ref36) 2017; 3
Tang A (ref138) 2018; 69
Feuerriegel S (ref69) 2020; 62
Rajkomar A (ref44) 2019; 380
Khan B (ref3) 2023
Siettos CI (ref57) 2013; 4
Smith LC (ref137) 2020; 19
Sebastian AM (ref155) 2022; 12
Álvarez-Machancoses Ó (ref32) 2020; 13
Chen P (ref28) 2021; 11
Hawkins S (ref19) 2016; 11
Morales S (ref154) 2021; 119
Thoenes M (ref73) 2021; 13
Castelvecchi D (ref128) 2016; 538
Wortwein T (ref104) 2017
Andreeva V (ref20) 2021; 12
William AD (ref6) 2018; 15
Lindberg I (ref92) 2017; 2
Abd-Alrazaq AA (ref110) 2019; 132
ref129
Takahashi H (ref79) 2017; 12
Costanzo A (ref83) 2016
Ellahham S (ref153) 2020; 35
Oguine O (ref75) 2022
Breso A (ref101) 2016; 33
Boucher EM (ref111) 2021; 18
Gedefaw L (ref29) 2023; 12
Haerling KA (ref120) 2018; 13
Celi LA (ref114) 2016; 18
Feng S (ref126) 2023; 98
Tran WT (ref16) 2021; 72
Fabrizio C (ref21) 2021; 11
Zhang W (ref123) 2023
Xu Y (ref47) 2021; 2
Lopez-Rincon A (ref53) 2021; 11
Zeng D (ref55) 2020
He L (ref43) 2021; 22
Parikh RB (ref152) 2019; 322
Young AT (ref84) 2020; 140
Fulmer R (ref113) 2018; 5
ref135
Lucas GM (ref103) 2017; 4
Steels L (ref52) 1995
Rees C (ref50)
Zhou J (ref39) 2015; 12
Paro MR (ref90) 2022; 163
Carpenter J (ref112) 2017; 19
Finnane A (ref85) 2017; 153
Nomura A (ref26) 2021; 21
Tripathi MK (ref2) 2021; 25
Bokhari Y (ref30) 2022; 11
Blasiak A (ref72) 2020; 25
Bakshi SK (ref121) 2021; 105
Zhang Z (ref24) 2021; 11
Hameed BS (ref17) 2022; 14
Tigard DW (ref140) 2020; 34
Pu L (ref49) 2019; 20
ref143
Warman PI (ref88) 2022; 90
Rodrigues R (ref145) 2020; 4
Mir MM (ref127) 2023; 11
ref78
Beckmann JS (ref34) 2016; 8
Char DS (ref133) 2020; 20
Wartman SA (ref115) 2018; 93
Zhuang D (ref48) 2021; 11
Kung TH (ref125) 2023; 2
Cowie J (ref150) 2018; 15
Andrès E (ref91) 2018; 12
Martinka MJ (ref87) 2016; 20
Lin K (ref9) 2022; 8
De Fauw J (ref149) 2018; 24
Kitsiou S (ref60) 2017; 12
Jassar S (ref157) 2022; 35
ref70
Park SH (ref144) 2018; 286
Chouldechova A (ref68) 2018
Dong Z (ref45) 2015; 15
Paranjape K (ref118) 2019; 5
Shaik T (ref61) 2023; 13
Iqbal J (ref10) 2022; 13
Chandrashekar A (ref5) 2020; 41
Alipanahi B (ref38) 2015; 33
Dileep G (ref4) 2022; 14
Olivier M (ref33) 2019; 20
Callaway E (ref40) 2020; 588
de Jaegere P (ref74) 2019; 105
Palanica A (ref130) 2019; 21
Auriacombe M (ref98) 2018; 193
Morley J (ref146) 2020; 260
Barton C (ref148) 2019; 109
Nubenthan S (ref82) 2017
Andresa E (ref93) 2018; 1
Hall MA (ref136) 2009; 301
Arieno A (ref147) 2019; 212
References_xml – volume: 286
  year: 2018
  ident: ref144
  article-title: Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction
  publication-title: Radiology
  doi: 10.1148/radiol.2017171920
– volume: 380
  year: 2019
  ident: ref44
  article-title: Machine learning in medicine
  publication-title: N Engl J Med
  doi: 10.1056/NEJMra1814259
– volume: 305
  year: 2023
  ident: ref116
  article-title: Applications of artificial intelligence (AI) in medical education: a scoping review
  publication-title: Stud Health Technol Inform
  doi: 10.3233/SHTI230581
– volume: 15
  year: 2018
  ident: ref6
  article-title: Assessing the accuracy of an automated atrial fibrillation detection algorithm using smartphone technology: the iREAD Study
  publication-title: Heart Rhythm
  doi: 10.1016/j.hrthm.2018.06.037
– volume: 50
  year: 2019
  ident: ref51
  article-title: Artificial intelligence and collusion
  publication-title: IIC
  doi: 10.1007/s40319-018-00773-x
– year: 1995
  ident: ref52
  article-title: The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents
  doi: 10.4324/9781351001885
– year: 2014
  ident: ref102
  article-title: SimSensei kiosk: a virtual human interviewer for healthcare decision support
  publication-title: AAMAS '14
– volume: 12
  year: 2022
  ident: ref12
  article-title: A survey on AI techniques for thoracic diseases diagnosis using medical images
  publication-title: Diagnostics (Basel)
  doi: 10.3390/diagnostics12123034
– volume: 10 Suppl 3
  year: 2016
  ident: ref42
  article-title: Classification of breast cancer patients using somatic mutation profiles and machine learning approaches
  publication-title: BMC Syst Biol
  doi: 10.1186/s12918-016-0306-z
– volume: 96
  year: 2021
  ident: ref64
  article-title: An edge AI-enabled IoT healthcare monitoring system for smart cities
  publication-title: Comput Electrical Eng
  doi: 10.1016/j.compeleceng.2021.107524
– volume: 105
  year: 2019
  ident: ref74
  article-title: Patient-specific computer simulation for transcatheter cardiac interventions: what a clinician needs to know
  publication-title: Heart
  doi: 10.1136/heartjnl-2018-313514
– volume: 2
  year: 2023
  ident: ref125
  article-title: Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models
  publication-title: PLOS Digit Health
  doi: 10.1371/journal.pdig.0000198
– volume: 13
  year: 2022
  ident: ref10
  article-title: The future of artificial intelligence in neurosurgery: a narrative review
  publication-title: Surg Neurol Int
  doi: 10.25259/SNI_877_2022
– volume: 33
  year: 2016
  ident: ref101
  article-title: Usability and acceptability assessment of an empathic virtual agent to prevent major depression
  publication-title: Expert Syst Int J Knowl Eng Neural Netw
  doi: 10.1111/exsy.12151
– volume: 98
  year: 2023
  ident: ref126
  article-title: ChatGPT and the future of medical education
  publication-title: Acad Med
  doi: 10.1097/ACM.0000000000005242
– volume: 119
  year: 2019
  ident: ref14
  article-title: Deep neural networks are superior to dermatologists in melanoma image classification
  publication-title: Eur J Cancer
  doi: 10.1016/j.ejca.2019.05.023
– volume: 37
  year: 2022
  ident: ref151
  article-title: Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research
  publication-title: AI Soc
  doi: 10.1007/s00146-021-01239-4
– volume: 19
  year: 2021
  ident: ref37
  article-title: AI applications in functional genomics
  publication-title: Comput Struct Biotechnol J
  doi: 10.1016/j.csbj.2021.10.009
– volume: 12
  year: 2015
  ident: ref39
  article-title: Predicting effects of noncoding variants with deep learning-based sequence model
  publication-title: Nat Methods
  doi: 10.1038/nmeth.3547
– volume: 4
  year: 2013
  ident: ref57
  article-title: Mathematical modeling of infectious disease dynamics
  publication-title: Virulence
  doi: 10.4161/viru.24041
– year: 2018
  ident: ref97
  article-title: Detecting Early Signs of Dementia in Conversation
– volume: 3
  year: 2018
  ident: ref105
  article-title: A self-diagnosis medical chatbot using artificial intelligence
  publication-title: J Web Dev Web Design
– volume: 13
  year: 2018
  ident: ref120
  article-title: Cost-utility analysis of virtual and mannequin-based simulation
  publication-title: Simul Healthc
  doi: 10.1097/SIH.0000000000000280
– volume: 20
  year: 2020
  ident: ref133
  article-title: Identifying ethical considerations for machine learning healthcare applications
  publication-title: Am J Bioeth
  doi: 10.1080/15265161.2020.1819469
– volume: 153
  year: 2017
  ident: ref85
  article-title: Teledermatology for the diagnosis and management of skin cancer: a systematic review
  publication-title: JAMA Dermatol
  doi: 10.1001/jamadermatol.2016.4361
– volume: 260
  year: 2020
  ident: ref146
  article-title: The ethics of AI in health care: a mapping review
  publication-title: Soc Sci Med
  doi: 10.1016/j.socscimed.2020.113172
– volume: 3
  year: 2017
  ident: ref36
  article-title: Digital health is a cultural transformation of traditional healthcare
  publication-title: Mhealth
  doi: 10.21037/mhealth.2017.08.07
– volume: 5
  year: 2019
  ident: ref118
  article-title: Introducing artificial intelligence training in medical education
  publication-title: JMIR Med Educ
  doi: 10.2196/16048
– year: 2023
  ident: ref3
  article-title: Drawbacks of artificial intelligence and their potential solutions in the healthcare sector
  publication-title: Biomed Mater Devices
  doi: 10.1007/s44174-023-00063-2
– volume: 62
  year: 2020
  ident: ref69
  article-title: Fair AI: challenges and opportunities
  publication-title: Bus Inf Syst Eng
  doi: 10.1007/s12599-020-00650-3
– year: 2021
  ident: ref15
  article-title: AI solutions to public health issues
  doi: 10.1007/978-981-16-6768-8_3
– volume: 50
  year: 2019
  ident: ref25
  article-title: Machine learning and deep learning in medical imaging: intelligent imaging
  publication-title: J Med Imaging Radiat Sci
  doi: 10.1016/j.jmir.2019.09.005
– volume: 5
  year: 2021
  ident: ref95
  article-title: To what scale are conversational agents used by top-funded companies offering digital mental health services for depression
  publication-title: Proceedings of the 14th International Joint Conference on BIOSTEC
  doi: 10.5220/0010413308010808
– year: 2016
  ident: ref81
  article-title: Detection of fetal electrocardiogram through OFDM, neuro-fuzzy logic and wavelets systems for telemetry
  publication-title: 2016 10th International Conference on Intelligent Systems and Control (ISCO)
  doi: 10.1109/ISCO.2016.7726970
– volume: 109
  year: 2019
  ident: ref148
  article-title: Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2019.04.027
– volume: 22
  year: 2021
  ident: ref43
  article-title: Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer
  publication-title: Brief Bioinform
  doi: 10.1093/bib/bbab272
– volume: 16
  year: 2021
  ident: ref107
  article-title: Ecological momentary interventions for mental health: a scoping review
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0248152
– volume: 14
  year: 2022
  ident: ref17
  article-title: Artificial intelligence-driven diagnosis of pancreatic cancer
  publication-title: Cancers (Basel)
  doi: 10.3390/cancers14215382
– volume: 12
  year: 2022
  ident: ref155
  article-title: Artificial intelligence in cancer research: trends, challenges and future directions
  publication-title: Life (Basel)
  doi: 10.3390/life12121991
– volume: 11
  year: 2021
  ident: ref53
  article-title: Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
  publication-title: Sci Rep
  doi: 10.1038/s41598-020-80363-5
– volume: 588
  year: 2020
  ident: ref40
  article-title: 'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures
  publication-title: Nature
  doi: 10.1038/d41586-020-03348-4
– volume: 20
  year: 2019
  ident: ref49
  article-title: eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates
  publication-title: BMC Pharmacol Toxicol
  doi: 10.1186/s40360-018-0282-6
– volume: 13
  year: 2020
  ident: ref32
  article-title: On the role of artificial intelligence in genomics to enhance precision medicine
  publication-title: Pharmgenomics Pers Med
  doi: 10.2147/PGPM.S205082
– year: 2018
  ident: ref96
  article-title: Detection of dementia from responses to atypical questions asked by embodied conversational agents
  publication-title: Proc Interspeech
  doi: 10.21437/Interspeech.2018-1514
– volume: 15
  year: 2015
  ident: ref45
  article-title: Anticancer drug sensitivity prediction in cell lines from baseline gene expression through recursive feature selection
  publication-title: BMC Cancer
  doi: 10.1186/s12885-015-1492-6
– year: 2018
  ident: ref18
  article-title: Extraction of brain tissue from CT head images using fully convolutional neural networks
  publication-title: SPIE Medical Imaging
  doi: 10.1117/12.2293423
– volume: 301
  year: 2009
  ident: ref136
  article-title: Ownership of medical information
  publication-title: JAMA
  doi: 10.1001/jama.2009.389
– year: 2021
  ident: ref66
  article-title: Assessing fairness in AI-enabled public health surveillance
  publication-title: IEAI Research Brief
  doi: 10.13140/RG.2.2.11318.57929
– volume: 11
  year: 2021
  ident: ref28
  article-title: Detection of metastatic tumor cells in the bone marrow aspirate smears by artificial intelligence (AI)-based Morphogo system
  publication-title: Front Oncol
  doi: 10.3389/fonc.2021.742395
– volume: 22
  year: 2010
  ident: ref100
  article-title: Response to a relational agent by hospital patients with depressive symptoms
  publication-title: Interact Comput
  doi: 10.1016/j.intcom.2009.12.001
– volume: 34
  year: 2020
  ident: ref140
  article-title: There is no techno-responsibility gap
  publication-title: Philos Technol
  doi: 10.1007/s13347-020-00414-7
– volume: 375
  year: 2016
  ident: ref35
  article-title: Predicting the future - big data, machine learning, and clinical medicine
  publication-title: N Engl J Med
  doi: 10.1056/NEJMp1606181
– volume: 12
  year: 2012
  ident: ref56
  article-title: Infectious disease surveillance and modelling across geographic frontiers and scientific specialties
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(11)70313-9
– volume: 93
  year: 2018
  ident: ref115
  article-title: Medical education must move from the information age to the age of artificial intelligence
  publication-title: Acad Med
  doi: 10.1097/ACM.0000000000002044
– volume: 51
  year: 2020
  ident: ref8
  article-title: Deep learning based software to identify large vessel occlusion on noncontrast computed tomography
  publication-title: Stroke
  doi: 10.1161/STROKEAHA.120.030326
– volume: 35
  year: 2020
  ident: ref153
  article-title: Application of artificial intelligence in the health care safety context: opportunities and challenges
  publication-title: Am J Med Qual
  doi: 10.1177/1062860619878515
– volume: 29
  year: 2021
  ident: ref1
  article-title: AI-driven optimization in healthcare: the diagnostic process
  publication-title: Eur J Manage Issues
  doi: 10.15421/192121
– volume: 2
  year: 2021
  ident: ref47
  article-title: Artificial intelligence: a powerful paradigm for scientific research
  publication-title: Innovation (Camb)
  doi: 10.1016/j.xinn.2021.100179
– volume: 17
  year: 2017
  ident: ref67
  article-title: Ethical issues in public health surveillance: a systematic qualitative review
  publication-title: BMC Public Health
  doi: 10.1186/s12889-017-4200-4
– volume: 40
  year: 2017
  ident: ref63
  article-title: Comparison of the prognostic value of Chronic Liver Failure Consortium scores and traditional models for predicting mortality in patients with cirrhosis
  publication-title: Gastroenterol Hepatol
  doi: 10.1016/j.gastrohep.2017.01.001
– volume: 81
  year: 2018
  ident: ref142
  article-title: Gender shades: intersectional accuracy disparities in commercial gender classification
  publication-title: Proceedings of the 1st Conference on Fairness, Accountability and Transparency
– volume: 26
  year: 2020
  ident: ref58
  article-title: Remote patient monitoring: a systematic review
  publication-title: Telemed J E Health
  doi: 10.1089/tmj.2019.0066
– volume: 26
  year: 2021
  ident: ref46
  article-title: Artificial intelligence in drug discovery and development
  publication-title: Drug Discov Today
  doi: 10.1016/j.drudis.2020.10.010
– volume: 13
  year: 2021
  ident: ref73
  article-title: Narrative review of the role of artificial intelligence to improve aortic valve disease management
  publication-title: J Thorac Dis
  doi: 10.21037/jtd-20-1837
– volume: 132
  year: 2019
  ident: ref110
  article-title: An overview of the features of chatbots in mental health: a scoping review
  publication-title: Int J Med Inform
  doi: 10.1016/j.ijmedinf.2019.103978
– volume: 21
  year: 2021
  ident: ref26
  article-title: Artificial intelligence in current diabetes management and prediction
  publication-title: Curr Diab Rep
  doi: 10.1007/s11892-021-01423-2
– volume: 36
  year: 2020
  ident: ref132
  article-title: Clinical AI: opacity, accountability, responsibility, and liability
  publication-title: AI Soc
  doi: 10.1007/s00146-020-01019-6
– volume: 12
  year: 2016
  ident: ref31
  article-title: Medicina di precisione e medicina di laboratorio
  publication-title: Riv Ital Med Lab
  doi: 10.1007/s13631-016-0131-9
– volume: 4
  year: 2016
  ident: ref122
  article-title: Cardiopulmonary resuscitation training by avatars: a qualitative study of medical students' experiences using a multiplayer virtual world
  publication-title: JMIR Serious Games
  doi: 10.2196/games.6448
– volume: 25
  year: 2021
  ident: ref156
  article-title: Artificial intelligence to deep learning: machine intelligence approach for drug discovery
  publication-title: Mol Divers
  doi: 10.1007/s11030-021-10217-3
– volume: 12
  year: 2017
  ident: ref60
  article-title: Effectiveness of mHealth interventions for patients with diabetes: an overview of systematic reviews
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0173160
– volume: 13
  year: 2023
  ident: ref61
  article-title: Remote patient monitoring using artificial intelligence: current state, applications, and challenges
  publication-title: WIREs Data Mining Knowledge Discovery
  doi: 10.1002/widm.1485 
– year: 2021
  ident: ref71
  article-title: Chapter 12 - From wearables to THINKables: artificial intelligence-enabled sensors for health monitoring
  doi: 10.1016/B978-0-12-819246-7.00012-7
– volume: 4
  year: 2017
  ident: ref103
  article-title: Reporting mental health symptoms: breaking down barriers to care with virtual human interviewers
  publication-title: Front Robot AI
  doi: 10.3389/frobt.2017.00051
– volume: 322
  year: 2019
  ident: ref152
  article-title: Addressing bias in artificial intelligence in health care
  publication-title: JAMA
  doi: 10.1001/jama.2019.18058
– volume: 12
  year: 2017
  ident: ref79
  article-title: Applying artificial intelligence to disease staging: deep learning for improved staging of diabetic retinopathy
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0179790
– volume: 19
  year: 2020
  ident: ref137
  article-title: Health information ownership: legal theories and policy implications
  publication-title: Vanderbilt J Entertain Technol Law
– volume: 18
  year: 2016
  ident: ref114
  article-title: Bridging the health data divide
  publication-title: J Med Internet Res
  doi: 10.2196/jmir.6400
– volume: 64
  year: 2019
  ident: ref131
  article-title: Chatbots and conversational agents in mental health: a review of the psychiatric landscape
  publication-title: Can J Psychiatry
  doi: 10.1177/0706743719828977
– volume: 8
  year: 2021
  ident: ref119
  article-title: Artificial intelligence in healthcare: transforming the practice of medicine
  publication-title: Future Healthc J
  doi: 10.7861/fhj.2021-0095
– volume: 25
  year: 2021
  ident: ref2
  article-title: Evolving scenario of big data and artificial intelligence (AI) in drug discovery
  publication-title: Mol Divers
  doi: 10.1007/s11030-021-10256-w
– year: 2020
  ident: ref124
  article-title: Ethical and legal challenges of artificial intelligence-driven healthcare
  publication-title: Artificial Intelligence in Healthcare
  doi: 10.1016/B978-0-12-818438-7.00012-5
– ident: ref135
– volume: 163
  year: 2022
  ident: ref90
  article-title: Telemedicine in neurosurgery and artificial intelligence applications
  publication-title: World Neurosurg
  doi: 10.1016/j.wneu.2022.04.078
– volume: 296
  year: 2020
  ident: ref7
  article-title: Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
  publication-title: Radiology
  doi: 10.1148/radiol.2020200905
– volume: 20
  year: 2020
  ident: ref22
  article-title: A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram
  publication-title: Sensors (Basel)
  doi: 10.3390/s20154157
– volume: 10
  year: 2022
  ident: ref13
  article-title: AI-driven clinical decision support: enhancing disease diagnosis exploiting patients similarity
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3142100
– volume: 33
  year: 2015
  ident: ref38
  article-title: Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
  publication-title: Nat Biotechnol
  doi: 10.1038/nbt.3300
– volume: 8
  year: 2016
  ident: ref34
  article-title: Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities
  publication-title: Genome Med
  doi: 10.1186/s13073-016-0388-7
– volume: 19
  year: 2017
  ident: ref112
  article-title: Correction: seeing the "big" picture: big data methods for exploring relationships between usage, language, and outcome in internet intervention data
  publication-title: J Med Internet Res
  doi: 10.2196/jmir.8099
– volume: 124
  year: 2005
  ident: ref27
  article-title: Performance evaluation of the CellaVision DM96 system: WBC differentials by automated digital image analysis supported by an artificial neural network
  publication-title: Am J Clin Pathol
  doi: 10.1309/XMB9-K0J4-1LHL-ATAY
– volume: 83
  year: 2020
  ident: ref76
  article-title: The era of artificial intelligence-based individualized telemedicine is coming
  publication-title: J Chin Med Assoc
  doi: 10.1097/JCMA.0000000000000374
– volume: 23
  year: 2016
  ident: ref62
  article-title: Prediction of in-hospital mortality in emergency department patients with sepsis: a local big data-driven, machine learning approach
  publication-title: Acad Emerg Med
  doi: 10.1111/acem.12876
– volume: 5
  year: 2018
  ident: ref113
  article-title: Using psychological artificial intelligence (Tess) to relieve symptoms of depression and anxiety: randomized controlled trial
  publication-title: JMIR Ment Health
  doi: 10.2196/mental.9782
– volume: 15
  year: 2018
  ident: ref150
  article-title: Evaluation of a digital consultation and self-care advice tool in primary care: a multi-methods study
  publication-title: Int J Environ Res Public Health
  doi: 10.3390/ijerph15050896
– volume: 41
  year: 2020
  ident: ref5
  article-title: A deep learning approach to generate contrast-enhanced computerized tomography angiograms without the use of intravenous contrast agents
  publication-title: Eur Heart J
  doi: 10.1093/ehjci/ehaa946.0156 
– volume: 105
  year: 2021
  ident: ref121
  article-title: The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology
  publication-title: Br J Ophthalmol
  doi: 10.1136/bjophthalmol-2020-316845
– year: 2022
  ident: ref75
  article-title: AI in telemedicine: an appraisal on deep learning-based approaches to virtual diagnostic solutions (VDS)
  publication-title: arXiv Preprint
  doi: 10.48550/arXiv.2208.04690
– year: 2020
  ident: ref55
  article-title: Artificial intelligence-enabled public health surveillance—from local detection to global epidemic monitoring and control
  publication-title: Artificial Intelligence in Medicine
  doi: 10.1016/B978-0-12-821259-2.00022-3
– volume: 35
  year: 2012
  ident: ref77
  article-title: Global prevalence and major risk factors of diabetic retinopathy
  publication-title: Diabetes Care
  doi: 10.2337/dc11-1909
– volume: 11
  year: 2022
  ident: ref30
  article-title: ChromoEnhancer: an artificial-intelligence-based tool to enhance neoplastic karyograms as an aid for effective analysis
  publication-title: Cells
  doi: 10.3390/cells11142244
– volume: 18
  year: 2021
  ident: ref65
  article-title: Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
  publication-title: Nat Rev Cardiol
  doi: 10.1038/s41569-020-00503-2
– volume: 12
  year: 2018
  ident: ref91
  article-title: [Telemedicine projects in the field of heart failure.: Update and focus of the E-care telemedicine 2.0 project. Perspectives in the field of diabetology]
  publication-title: Méd Malad Métabol
  doi: 10.1016/S1957-2557(18)30051-8
– volume: 214
  year: 2020
  ident: ref141
  article-title: DICOM images have been hacked! Now what?
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.19.21958
– volume: 139
  year: 2019
  ident: ref86
  article-title: Deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for general skin disorders
  publication-title: J Invest Dermatol
  doi: 10.1016/J.JID.2019.03.1067
– volume: 90
  year: 2022
  ident: ref88
  article-title: Machine learning for predicting in-hospital mortality after traumatic brain injury in both high-income and low- and middle-income countries
  publication-title: Neurosurgery
  doi: 10.1227/neu.0000000000001898
– volume: 119
  year: 2021
  ident: ref154
  article-title: Artificial intelligence in computational pathology - challenges and future directions
  publication-title: Digit Signal Process
  doi: 10.1016/j.dsp.2021.103196
– volume: 14
  year: 2022
  ident: ref4
  article-title: Artificial intelligence in breast cancer screening and diagnosis
  publication-title: Cureus
  doi: 10.7759/cureus.30318
– volume: 4
  year: 2020
  ident: ref145
  article-title: Legal and human rights issues of AI: gaps, challenges, and vulnerabilities
  publication-title: J Respons Technol
  doi: 10.1016/j.jrt.2020.100005
– volume: 24
  year: 2018
  ident: ref149
  article-title: Clinically applicable deep learning for diagnosis and referral in retinal disease
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0107-6
– volume: 12
  year: 2023
  ident: ref29
  article-title: Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
  publication-title: Cells
  doi: 10.3390/cells12131755
– volume: 11
  year: 2021
  ident: ref48
  article-title: Deep learning for drug discovery: a study of identifying high efficacy drug compounds using a cascade transfer learning approach
  publication-title: Appl Sci
  doi: 10.3390/app11177772
– volume: 36
  year: 2020
  ident: ref94
  article-title: AI in mental health
  publication-title: Curr Opin Psychol
  doi: 10.1016/j.copsyc.2020.04.005
– volume: 293
  year: 2019
  ident: ref139
  article-title: Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety statement
  publication-title: Radiology
  doi: 10.1148/radiol.2019191586
– volume: 25
  year: 2020
  ident: ref72
  article-title: CURATE.AI: optimizing personalized medicine with artificial intelligence
  publication-title: SLAS Technol
  doi: 10.1177/2472630319890316
– volume: 28
  year: 2021
  ident: ref59
  article-title: Strengthening healthcare delivery with remote patient monitoring in the time of COVID-19
  publication-title: BMJ Health Care Inform
  doi: 10.1136/bmjhci-2020-100302
– volume: 12
  year: 2021
  ident: ref20
  article-title: Preoperative AI-driven fluorescence diagnosis of non-melanoma skin cancer
  publication-title: Diagnostics (Basel)
  doi: 10.3390/diagnostics12010072
– ident: ref50
  article-title: The ethics of artificial intelligence
  doi: 10.1007/978-3-030-64246-4_5
– volume: 11
  year: 2021
  ident: ref21
  article-title: Artificial intelligence for Alzheimer's disease: promise or challenge?
  publication-title: Diagnostics (Basel)
  doi: 10.3390/diagnostics11081473
– volume: 28
  year: 2017
  ident: ref41
  article-title: Transcriptomic and proteomic profiling provides insight into mesangial cell function in IgA nephropathy
  publication-title: J Am Soc Nephrol
  doi: 10.1681/ASN.2016101103
– volume: 8
  year: 2022
  ident: ref9
  article-title: AI-driven decision making for auxiliary diagnosis of epidemic diseases
  publication-title: IEEE Transact Mol Biol Multi-Scale Commun
  doi: 10.1109/TMBMC.2021.3120646
– year: 2023
  ident: ref123
  article-title: AI in medical education: global situation, effects, and challenges [in press]
  publication-title: Educ Inf Technol
  doi: 10.1007/s10639-023-12009-8
– volume: 11
  year: 2023
  ident: ref127
  article-title: Application of artificial intelligence in medical education: current scenario and future perspectives
  publication-title: J Adv Med Educ Prof
  doi: 10.30476/JAMP.2023.98655.1803
– ident: ref143
– year: 2016
  ident: ref83
  article-title: Mobile cyber-physical systems for health care: Functions, ambient ontology, and e-diagnostics
  publication-title: 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)
  doi: 10.1109/CCNC.2016.7444920
– volume: 90
  year: 2022
  ident: ref89
  article-title: Machine learning-driven clinical image analysis to identify craniosynostosis: a pilot study of telemedicine and clinic patients
  publication-title: Neurosurgery
  doi: 10.1227/neu.0000000000001890
– year: 2017
  ident: ref104
  article-title: What really matters-an information gain analysis of questions and reactions in automated PTSD screenings
  publication-title: 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)
  doi: 10.1109/ACII.2017.8273573
– volume: 18
  year: 2021
  ident: ref111
  article-title: Artificially intelligent chatbots in digital mental health interventions: a review
  publication-title: Expert Rev Med Devices
  doi: 10.1080/17434440.2021.2013200
– volume: 9
  year: 2020
  ident: ref23
  article-title: A comprehensive machine-learning model applied to magnetic resonance imaging (MRI) to predict Alzheimer's disease (AD) in older subjects
  publication-title: J Clin Med
  doi: 10.3390/jcm9072146
– volume: 11
  year: 2016
  ident: ref19
  article-title: Predicting malignant nodules from screening CT scans
  publication-title: J Thorac Oncol
  doi: 10.1016/j.jtho.2016.07.002
– volume: 2
  year: 2021
  ident: ref106
  article-title: Can chatbots help support a person’s mental health?: perceptions and views from mental healthcare professionals and experts
  publication-title: ACM Transact Comput Healthcare
  doi: 10.1145/3453175
– volume: 212
  year: 2019
  ident: ref147
  article-title: A review of the role of augmented intelligence in breast imaging: from automated breast density assessment to risk stratification
  publication-title: AJR Am J Roentgenol
  doi: 10.2214/AJR.18.20391
– volume: 41
  year: 2019
  ident: ref117
  article-title: Artificial intelligence in medical education
  publication-title: Med Teach
  doi: 10.1080/0142159X.2019.1595557
– volume: 140
  year: 2020
  ident: ref84
  article-title: Artificial intelligence in dermatology: a primer
  publication-title: J Invest Dermatol
  doi: 10.1016/j.jid.2020.02.026
– volume: 20
  year: 2016
  ident: ref87
  article-title: Clinical recognition of melanoma in dermatologists and nondermatologists
  publication-title: J Cutan Med Surg
  doi: 10.1177/1203475415623513
– year: 2015
  ident: ref99
  article-title: TeenChat: a chatterbot system for sensing and releasing adolescents’ stress
  doi: 10.1007/978-3-319-19156-0_14
– volume: 11
  year: 2021
  ident: ref24
  article-title: Application of artificial intelligence in the MRI classification task of human brain neurological and psychiatric diseases: a scoping review
  publication-title: Diagnostics (Basel)
  doi: 10.3390/diagnostics11081402
– ident: ref78
– volume: 72
  year: 2021
  ident: ref16
  article-title: Computational radiology in breast cancer screening and diagnosis using artificial intelligence
  publication-title: Can Assoc Radiol J
  doi: 10.1177/0846537120949974
– ident: ref70
– volume: 69
  year: 2018
  ident: ref138
  article-title: Canadian Association of Radiologists white paper on artificial intelligence in radiology
  publication-title: Can Assoc Radiol J
  doi: 10.1016/j.carj.2018.02.002
– volume: 2
  year: 2017
  ident: ref92
  article-title: Telemonitoring and health counseling for self-management support of patients with type 2 diabetes: a randomized controlled trial
  publication-title: JMIR Diabetes
  doi: 10.2196/diabetes.6884
– volume: 538
  year: 2016
  ident: ref128
  article-title: Can we open the black box of AI?
  publication-title: Nature
  doi: 10.1038/538020a
– year: 2018
  ident: ref68
  article-title: The frontiers of fairness in machine learning
  publication-title: arXiv Preprint
  doi: 10.48550/arXiv.1810.08810
– volume: 19
  year: 2015
  ident: ref80
  article-title: Smartphone-based recognition of states and state changes in bipolar disorder patients
  publication-title: IEEE J Biomed Health Inform
  doi: 10.1109/JBHI.2014.2343154
– volume: 35
  year: 2022
  ident: ref157
  article-title: The future of artificial intelligence in medicine: medical-legal considerations for health leaders
  publication-title: Healthc Manage Forum
  doi: 10.1177/08404704221082069
– volume: 8
  year: 2020
  ident: ref54
  article-title: Outbreak prediction of COVID-19 for dense and populated countries using machine learning
  publication-title: Ann Data Sci
  doi: 10.1007/s40745-020-00314-9
– volume: 20
  year: 2019
  ident: ref33
  article-title: The need for multi-omics biomarker signatures in precision medicine
  publication-title: Int J Mol Sci
  doi: 10.3390/ijms20194781
– volume: 3
  year: 2020
  ident: ref109
  article-title: A comparison of artificial intelligence and human doctors for the purpose of triage and diagnosis
  publication-title: Front Artif Intell
  doi: 10.3389/frai.2020.543405
– year: 2017
  ident: ref82
  article-title: A wireless continuous patient monitoring system for dengue: Wi-Mon
  publication-title: 6th National Conference on Technology and Management (NCTM)
  doi: 10.1109/NCTM.2017.7872822
– volume: 21
  year: 2019
  ident: ref130
  article-title: Physicians' perceptions of chatbots in health care: cross-sectional web-based survey
  publication-title: J Med Internet Res
  doi: 10.2196/12887
– volume: 55
  year: 2019
  ident: ref108
  article-title: Technology and mental health: the role of artificial intelligence
  publication-title: Eur Psychiatry
  doi: 10.1016/j.eurpsy.2018.08.004
– ident: ref129
– volume: 23
  year: 2016
  ident: ref134
  article-title: Privacy and accountability in black-box medicine
  publication-title: Mich Telecomm Tech L Rev
– volume: 1
  year: 2018
  ident: ref93
  article-title: Telemedicine in patients with chronic diseases: the time of maturity!
  publication-title: Open Access J Intern Med
  doi: 10.22259/2638-5279.0101001
– volume: 193
  year: 2018
  ident: ref98
  article-title: Development and validation of a virtual agent to screen tobacco and alcohol use disorders
  publication-title: Drug Alcohol Depend
  doi: 10.1016/j.drugalcdep.2018.08.025
– volume: 8
  year: 2018
  ident: ref11
  article-title: Deep feature learning for sudden cardiac arrest detection in automated external defibrillators
  publication-title: Sci Rep
  doi: 10.1038/s41598-018-33424-9
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SubjectTerms Accuracy
Algorithms
Artificial intelligence
Blood diseases
COVID-19
Deep learning
Dermatology
Diabetes
Disease prevention
Drug development
Drug efficacy
Electrocardiography
Healthcare Technology
Internal Medicine
Medicine
Melanoma
Neural networks
Other
Pancreatic cancer
Sleep apnea
Spectrum analysis
Support vector machines
Surgeons
Tomography
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Title Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
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