Artificial Intelligence and Its Impact on Urological Diseases and Management: A Comprehensive Review of the Literature

Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnes...

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Published inJournal of clinical medicine Vol. 10; no. 9; p. 1864
Main Authors Hameed, B. M. Zeeshan, S. Dhavileswarapu, Aiswarya V. L., Raza, Syed Zahid, Karimi, Hadis, Khanuja, Harneet Singh, Shetty, Dasharathraj K., Ibrahim, Sufyan, Shah, Milap J., Naik, Nithesh, Paul, Rahul, Rai, Bhavan Prasad, Somani, Bhaskar K.
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 26.04.2021
MDPI
Subjects
Algorithms
Artificial intelligence
Bladder cancer
Clinical medicine
Decision making
Decision trees
Deep learning
Disease
Health care industry
Kidney cancer
Machine learning
Medicine
Natural language processing
Neural networks
Patients
Pediatrics
Physicians
Predictive analytics
Prostate cancer
R&D
Research & development
Review
Urology
endourology
hydronephrosis
fertility
machine learning
urinary incontinence
artificial intelligence
kidney stone disease
prostate cancer
renal cell carcinoma
urinary reflux
pediatric urology
bladder cancer
urology
reproductive urology
urolithiasis
Online AccessGet full text
ISSN2077-0383
2077-0383
DOI10.3390/jcm10091864

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Abstract Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.
AbstractList Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.
Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.
Author Ibrahim, Sufyan
Karimi, Hadis
Shetty, Dasharathraj K.
Shah, Milap J.
S. Dhavileswarapu, Aiswarya V. L.
Khanuja, Harneet Singh
Raza, Syed Zahid
Somani, Bhaskar K.
Naik, Nithesh
Paul, Rahul
Hameed, B. M. Zeeshan
Rai, Bhavan Prasad
AuthorAffiliation 6 Department of Urology, Dr. B.R. Ambedkar Medical College, Bengaluru 560045, Karnataka, India; syed.zahid.raza@gmail.com
11 Department of Mechanical and Manufacturing, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
12 Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; rpaul7@mgh.harvard.edu
5 Department of Electronics and Communication, GITAM University, Gandhi Nagar, Rushi Konda, Visakhapatnam 530045, Andhra Pradesh, India; aash.dhavil@gmail.com
3 iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India; sufyan.ibrahim2@gmail.com
14 Department of Urology, University Hospital Southampton NHS Trust, Southampton SO16 6YD, UK
1 Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; zeeshanhameedbm@gmail.com (B.M.Z.H.); drmilapshah@gmail.com (M.J.S.
AuthorAffiliation_xml – name: 6 Department of Urology, Dr. B.R. Ambedkar Medical College, Bengaluru 560045, Karnataka, India; syed.zahid.raza@gmail.com
– name: 9 Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; raja.shetty@manipal.edu
– name: 2 KMC Innovation Centre, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
– name: 8 Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; hskhanuja2@gmail.com
– name: 4 Curiouz Techlab Private Limited, Manipal Government of Karnataka Bioincubator, Manipal 576104, Karnataka, India
– name: 10 Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
– name: 1 Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; zeeshanhameedbm@gmail.com (B.M.Z.H.); drmilapshah@gmail.com (M.J.S.); bhaskarsomani@yahoo.com (B.K.S.)
– name: 14 Department of Urology, University Hospital Southampton NHS Trust, Southampton SO16 6YD, UK
– name: 5 Department of Electronics and Communication, GITAM University, Gandhi Nagar, Rushi Konda, Visakhapatnam 530045, Andhra Pradesh, India; aash.dhavil@gmail.com
– name: 13 Department of Urology, Freeman Hospital, Newcastle NE7 7DN, UK; urobhavan@gmail.com
– name: 3 iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India; sufyan.ibrahim2@gmail.com
– name: 12 Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; rpaul7@mgh.harvard.edu
– name: 7 Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; hadiskarimi1997@gmail.com
– name: 11 Department of Mechanical and Manufacturing, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
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  orcidid: 0000-0001-9127-2738
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  surname: Somani
  fullname: Somani, Bhaskar K.
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33925767$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2021 by the authors. 2021
Copyright_xml – notice: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Issue 9
Keywords endourology
hydronephrosis
fertility
machine learning
urinary incontinence
artificial intelligence
kidney stone disease
prostate cancer
renal cell carcinoma
urinary reflux
pediatric urology
bladder cancer
urology
reproductive urology
urolithiasis
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Snippet Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to...
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StartPage 1864
SubjectTerms Algorithms
Artificial intelligence
Bladder cancer
Clinical medicine
Decision making
Decision trees
Deep learning
Disease
Health care industry
Kidney cancer
Machine learning
Medicine
Natural language processing
Neural networks
Patients
Pediatrics
Physicians
Predictive analytics
Prostate cancer
R&D
Research & development
Review
Urology
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Title Artificial Intelligence and Its Impact on Urological Diseases and Management: A Comprehensive Review of the Literature
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