The applications and prospects of big data in perioperative anesthetic management

Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and dynamic execution of precise decisions which poses significant challenges. In the age of big data, the exponential growth in data volume from diverse...

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Published inANESTHESIOLOGY AND PERIOPERATIVE SCIENCE Vol. 2; no. 3; pp. 1 - 11
Main Authors Zhu, Yiziting, Liu, Xiang, Li, Yujie, Yi, Bin
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 26.08.2024
Springer
Subjects
Anesthesiology
Big data
Critical Care Medicine
Intensive
Machine learning
Medicine
Medicine & Public Health
Neurosciences
Perioperative management
Pharmacology/Toxicology
Prediction
Review Article
Surgery
Big data
Perioperative management
Machine learning
Prediction
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Abstract Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and dynamic execution of precise decisions which poses significant challenges. In the age of big data, the exponential growth in data volume from diverse sources has revolutionized many fields, including healthcare, finance, and marketing. Machine learning has emerged as a powerful tool for analyzing big data, enabling the handling of large datasets and uncovering intricate patterns and relationships. The application of big data and artificial intelligence algorithms is gradually being integrated, enabling effective task completion in various stages of perioperative management, including risk prediction, decision support, and auxiliary examination. Through in-depth analysis of big data, healthcare professionals can gain insights into patient prognoses. This review provides a comprehensive overview of the distinctive features of perioperative big data and its applications in anesthesia management during the perioperative period.
AbstractList Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and dynamic execution of precise decisions which poses significant challenges. In the age of big data, the exponential growth in data volume from diverse sources has revolutionized many fields, including healthcare, finance, and marketing. Machine learning has emerged as a powerful tool for analyzing big data, enabling the handling of large datasets and uncovering intricate patterns and relationships. The application of big data and artificial intelligence algorithms is gradually being integrated, enabling effective task completion in various stages of perioperative management, including risk prediction, decision support, and auxiliary examination. Through in-depth analysis of big data, healthcare professionals can gain insights into patient prognoses. This review provides a comprehensive overview of the distinctive features of perioperative big data and its applications in anesthesia management during the perioperative period.
Abstract Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and dynamic execution of precise decisions which poses significant challenges. In the age of big data, the exponential growth in data volume from diverse sources has revolutionized many fields, including healthcare, finance, and marketing. Machine learning has emerged as a powerful tool for analyzing big data, enabling the handling of large datasets and uncovering intricate patterns and relationships. The application of big data and artificial intelligence algorithms is gradually being integrated, enabling effective task completion in various stages of perioperative management, including risk prediction, decision support, and auxiliary examination. Through in-depth analysis of big data, healthcare professionals can gain insights into patient prognoses. This review provides a comprehensive overview of the distinctive features of perioperative big data and its applications in anesthesia management during the perioperative period.
ArticleNumber 30
Author Yi, Bin
Liu, Xiang
Zhu, Yiziting
Li, Yujie
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Cites_doi 10.1109/bibm.2011.79
10.1213/ane.0000000000004208
10.21037/hbsn-23-46
10.1186/s13054-015-0827-7
10.1097/aln.0000000000002581
10.3399/bjgp18X695213
10.1093/bja/aet001
10.3350/cmh.2023.0089
10.1001/jamanetworkopen.2022.46637
10.1007/s12630-010-9335-z
10.1016/j.heliyon.2022.e12481
10.1177/0310057x0703500306
10.1213/01.ane.0000287269.06170.0f
10.1016/j.jbi.2022.104267
10.1016/j.bja.2020.12.035
10.1007/s00145-023-09467-1
10.1001/jamasurg.2019.0995
10.1007/s10916-019-1481-4
10.1007/s10877-020-00553-4
10.1161/circulationaha.115.001593
10.1038/s41551-018-0304-0
10.1109/tbme.2018.2880927
10.1016/j.bja.2022.06.031
10.1016/j.mbs.2019.01.012
10.2196/25658
10.1038/s41597-022-01899-x
10.1109/tbcas.2019.2921875
10.1186/s12871-021-01466-8
10.1016/j.artmed.2023.102726
10.1186/s12911-019-0763-6
10.1109/TNN.1998.712192
10.1016/j.jtcvs.2022.09.045
10.1002/mp.12979
10.1038/s41591-018-0213-5
10.1097/eja.0000000000000827
10.3389/fmed.2023.1203023
10.1016/j.surg.2020.11.005
10.1007/s10877-016-9883-z
10.1097/00000542-200107000-00007
10.1038/s41551-018-0305-z
10.1213/ane.0000000000001974
10.1007/s00268-016-3460-y
10.1109/tmi.2017.2739110
10.1016/j.compbiomed.2021.104737
10.1213/ANE.0b013e31820334a7
10.1097/ccm.0000000000001571
10.1109/ACCESS.2022.3149798
10.1001/jama.2012.5502
10.1097/00000542-200604000-00012
10.1038/s41591-018-0316-z
10.1213/ane.0000000000004636
10.1038/sdata.2018.178
10.3389/fmed.2022.1005901
10.1007/s10877-013-9451-8
10.1109/tbcas.2020.2998172
10.1016/j.comnet.2023.109828
10.1056/NEJMra1502824
10.1186/s12911-020-1120-5
10.1001/jamanetworkopen.2023.22285
10.1007/s10877-017-9981-6
10.1007/s10877-018-0234-0
10.1016/j.jclinane.2023.111194
10.1177/0272989x09353194
10.1093/bja/aev002
10.1093/ageing/afad086
10.3390/healthcare11020184
10.1016/B978-0-08-051489-5.50008-4
10.3390/jcm12206611
10.3390/jcm7110428
10.48550/arXiv.2401.06091
10.48550/arXiv.2306.02754
10.1109/GPECOM58364.2023.10175760
10.1109/tnnls.2023.3273187
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References Kyburg (CR36) 1988; 88
Bernstein (CR76) 2023; 37
Hemmerling, Arbeid, Wehbe, Cyr, Taddei, Zaouter (CR52) 2013; 110
Puri, Kumar, Aveek (CR48) 2007; 35
CR35
CR34
Mohan, Blough, Kurc, Post, Saltz (CR8) 2012; 2011
Huang, Luo, Jiang, Du, Tao, Chen (CR38) 2022; 8
Esteva, Robicquet, Ramsundar, Kuleshov, DePristo, Chou (CR1) 2019; 25
Joosten, Delaporte, Alexander, Su, Creteur, Vincent (CR61) 2019; 130
Struys, De Smet, Versichelen, Van De Velde, Van den Broecke, Mortier (CR45) 2001; 95
CR30
Sutton, Barto (CR12) 1998; 9
Lundberg, Nair, Vavilala, Horibe, Eisses, Adams (CR21) 2018; 2
Hargrave, Deegan, Bednarz, Poulsen, Harden, Mengersen (CR37) 2018; 45
Rinehart, Lilot, Lee, Joosten, Huynh, Canales (CR56) 2015; 19
Alagoz, Hsu, Schaefer, Roberts (CR40) 2010; 30
Yu, Ren, Dong (CR44) 2020; 20
Matava, Pankiv, Raisbeck, Caldeira, Alam (CR73) 2020; 44
Jin, Bighamian, Hahn (CR58) 2018
CR2
Dubost, Humbert, Oudre, Labourdette, Vayatis, Vidal (CR18) 2021; 35
CR5
Yu, Beam, Kohane (CR11) 2018; 2
Kiyatkin, Aasman, Fazzari, Rudolph, Vidal Melo, Eikermann (CR27) 2023; 90
Yu, Liu, Zhao (CR43) 2019; 19
Brennan, Hagan, Giordano, Loftus, Price, Aytug (CR33) 2021; 170
Lee, Lee, Kim, Le, Hao, Jung (CR23) 2022; 5
Ngan Kee, Tam, Khaw, Ng, Lee (CR60) 2017; 125
Samant, Bachute, Gite, Kotecha (CR13) 2022; 10
Park, Han, Byun, Kim, Lee, Kim (CR17) 2020; 14
Saadeh, Khan, Altaf (CR16) 2019; 13
Anzabi Zadeh, Street, Thomas (CR75) 2023; 137
Joosten, Coeckelenbergh, Delaporte, Ickx, Closset, Roumeguere (CR55) 2018; 35
Li, Lai, Zhou, Yang, Wu, Fang (CR77) 2023; 231
Rinehart, Joosten, Ma, Calderon, Cannesson (CR63) 2019; 33
Pollard, Johnson, Raffa, Celi, Mark, Badawi (CR32) 2018; 5
Devereaux, Sessler (CR26) 2015; 373
Lee, Lee, Chu, Song, Ahn, Lee (CR20) 2021; 126
CR19
Hemmerling, Charabati, Zaouter, Minardi, Mathieu (CR49) 2010; 57
CR14
Pesteie, Lessoway, Abolmaesumi, Rohling (CR69) 2018; 37
Buch, Ahmed, Maruthappu (CR3) 2018; 68
Tavolara, Gurcan, Segal, Niazi (CR71) 2021; 136
CR10
Yeo, Samaan, Ng, Ting, Trivedi, Vipani (CR15) 2023; 29
CR54
Ryan, Zeng, Chatterjee, Wall, Moon, Coselli (CR28) 2022
Xia, Ma, Zuo, Deng, Xue, Battaglini (CR70) 2023; 12
Liu, Xie, Shu, Chen, Sun, Zhong (CR74) 2024; 147
Padmanabhan, Meskin, Haddad (CR41) 2019; 309
Bowness, Burckett-St Laurent, Hernandez, Keane, Lobo, Margetts (CR67) 2023; 130
In Chan, Ma, Leng, Tan, Tan, Sultana (CR68) 2021; 21
Ripollés-Melchor, Ramírez-Rodríguez, Casans-Francés, Aldecoa, Abad-Motos, Logroño-Egea (CR7) 2019; 154
De Smet, Struys, Greenwald, Mortier, Shafer (CR46) 2007; 105
Deo (CR9) 2015; 132
Devereaux, Chan, Alonso-Coello, Walsh, Berwanger, Villar (CR25) 2012; 307
Joosten, Huynh, Suehiro, Canales, Cannesson, Rinehart (CR57) 2015; 114
Mahajan, Esper, Oo, McKibben, Garver, Artman (CR29) 2023; 6
Ren, Chen, Liu, Fu, Yao, Chen (CR64) 2023; 9
Chen, Zhu, Zhong, Yang, Li, Shu (CR39) 2022; 9
Johnson, Bulgarelli, Shen, Gayles, Shammout, Horng (CR31) 2023; 10
Moore, Doufas, Pyeatt (CR50) 2011; 112
CR24
Liu, Chazot, Genty, Landais, Restoux, McGee (CR47) 2006; 104
CR65
Bowness, Macfarlane, Noble, Higham, Burckett-St (CR66) 2021; 408
Wehbe, Arbeid, Cyr, Mathieu, Taddei, Morse (CR53) 2014; 28
Pei, Jin, Cao, Ji, Xia, Jiang (CR72) 2023; 10
Gustafsson, Oppelstrup, Thorell, Nygren, Ljungqvist (CR6) 2016; 40
Komorowski, Celi, Badawi, Gordon, Faisal (CR42) 2018; 24
Rinehart, Ma, Calderon, Cannesson (CR62) 2018; 32
Ngan Kee, Khaw, Tam, Ng, Lee (CR59) 2017; 31
Neckebroek, Boldingh, De Smet, Struys (CR51) 2020; 130
Churpek, Yuen, Winslow, Meltzer, Kattan, Edelson (CR4) 2016; 44
Solomon, Saxena, Neradilek, Hau, Fong, Lang (CR22) 2020; 130
C Yu (68_CR43) 2019; 19
MM Struys (68_CR45) 2001; 95
KH Yu (68_CR11) 2018; 2
Y Huang (68_CR38) 2022; 8
X Jin (68_CR58) 2018
SM Lundberg (68_CR21) 2018; 2
A Mahajan (68_CR29) 2023; 6
A Joosten (68_CR57) 2015; 114
BL Moore (68_CR50) 2011; 112
Y Park (68_CR17) 2020; 14
AEW Johnson (68_CR31) 2023; 10
M Brennan (68_CR33) 2021; 170
68_CR30
VH Buch (68_CR3) 2018; 68
68_CR35
SM Lee (68_CR23) 2022; 5
J Rinehart (68_CR56) 2015; 19
68_CR34
A Mohan (68_CR8) 2012; 2011
M Pesteie (68_CR69) 2018; 37
C Dubost (68_CR18) 2021; 35
C Hargrave (68_CR37) 2018; 45
GD Puri (68_CR48) 2007; 35
WD Ngan Kee (68_CR59) 2017; 31
HE Kyburg (68_CR36) 1988; 88
M Xia (68_CR70) 2023; 12
MM Churpek (68_CR4) 2016; 44
C Yu (68_CR44) 2020; 20
J Bowness (68_CR66) 2021; 408
68_CR65
J Rinehart (68_CR63) 2019; 33
68_CR24
JS Bowness (68_CR67) 2023; 130
M Komorowski (68_CR42) 2018; 24
A Joosten (68_CR61) 2019; 130
A Joosten (68_CR55) 2018; 35
68_CR2
S Anzabi Zadeh (68_CR75) 2023; 137
N Liu (68_CR47) 2006; 104
J Rinehart (68_CR62) 2018; 32
W Ren (68_CR64) 2023; 9
ME Kiyatkin (68_CR27) 2023; 90
UO Gustafsson (68_CR6) 2016; 40
DJ Bernstein (68_CR76) 2023; 37
JJ In Chan (68_CR68) 2021; 21
68_CR5
68_CR19
C Matava (68_CR73) 2020; 44
68_CR10
68_CR54
RS Sutton (68_CR12) 1998; 9
68_CR14
YH Yeo (68_CR15) 2023; 29
P Li (68_CR77) 2023; 231
J Ripollés-Melchor (68_CR7) 2019; 154
J Liu (68_CR74) 2024; 147
O Alagoz (68_CR40) 2010; 30
M Wehbe (68_CR53) 2014; 28
WD Ngan Kee (68_CR60) 2017; 125
CT Ryan (68_CR28) 2022
TJ Pollard (68_CR32) 2018; 5
PJ Devereaux (68_CR25) 2012; 307
T De Smet (68_CR46) 2007; 105
M Neckebroek (68_CR51) 2020; 130
RM Samant (68_CR13) 2022; 10
S Lee (68_CR20) 2021; 126
PJ Devereaux (68_CR26) 2015; 373
SC Solomon (68_CR22) 2020; 130
B Pei (68_CR72) 2023; 10
TE Tavolara (68_CR71) 2021; 136
R Padmanabhan (68_CR41) 2019; 309
Y Chen (68_CR39) 2022; 9
RC Deo (68_CR9) 2015; 132
TM Hemmerling (68_CR52) 2013; 110
A Esteva (68_CR1) 2019; 25
W Saadeh (68_CR16) 2019; 13
TM Hemmerling (68_CR49) 2010; 57
References_xml – volume: 2011
  start-page: 590
  year: 2012
  end-page: 594
  ident: CR8
  article-title: Detection of conflicts and inconsistencies in taxonomy-based authorization policies
  publication-title: Proc (IEEE Int Conf Bioinform Biomed)
  doi: 10.1109/bibm.2011.79
– volume: 130
  start-page: 1661
  issue: 6
  year: 2020
  end-page: 1669
  ident: CR51
  article-title: Influence of remifentanil on the control performance of the bispectral index controlled Bayesian-based closed-loop system for propofol administration
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000004208
– volume: 12
  start-page: 545
  issue: 4
  year: 2023
  end-page: 66
  ident: CR70
  article-title: Expert consensus on difficult airway assessment
  publication-title: Hepatobiliary Surg Nutr.
  doi: 10.21037/hbsn-23-46
– volume: 19
  start-page: 94
  issue: 1
  year: 2015
  ident: CR56
  article-title: Closed-loop assisted versus manual goal-directed fluid therapy during high-risk abdominal surgery: a case-control study with propensity matching
  publication-title: Crit Care
  doi: 10.1186/s13054-015-0827-7
– volume: 130
  start-page: 394
  issue: 3
  year: 2019
  end-page: 403
  ident: CR61
  article-title: Automated titration of vasopressor infusion using a closed-loop controller: in vivo feasibility study using a swine model
  publication-title: Anesthesiology.
  doi: 10.1097/aln.0000000000002581
– volume: 68
  start-page: 143
  issue: 668
  year: 2018
  end-page: 144
  ident: CR3
  article-title: Artificial intelligence in medicine: current trends and future possibilities
  publication-title: Br J Gen Pract
  doi: 10.3399/bjgp18X695213
– volume: 110
  start-page: 1031
  issue: 6
  year: 2013
  end-page: 1039
  ident: CR52
  article-title: Evaluation of a novel closed-loop total intravenous anaesthesia drug delivery system: a randomized controlled trial
  publication-title: Br J Anaesth
  doi: 10.1093/bja/aet001
– volume: 29
  start-page: 721
  issue: 3
  year: 2023
  end-page: 732
  ident: CR15
  article-title: Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma
  publication-title: Clin Mol Hepatol
  doi: 10.3350/cmh.2023.0089
– volume: 5
  start-page: e2246637
  issue: 12
  year: 2022
  ident: CR23
  article-title: Development and validation of a prediction model for need for massive transfusion during surgery using intraoperative hemodynamic monitoring data
  publication-title: JAMA Netw Open
  doi: 10.1001/jamanetworkopen.2022.46637
– volume: 88
  start-page: 434
  issue: 8
  year: 1988
  end-page: 437
  ident: CR36
  article-title: Probabilistic reasoning in intelligent systems
  publication-title: J Philos
– volume: 57
  start-page: 725
  issue: 8
  year: 2010
  end-page: 735
  ident: CR49
  article-title: A randomized controlled trial demonstrates that a novel closed-loop propofol system performs better hypnosis control than manual administration
  publication-title: Can J Anaesth
  doi: 10.1007/s12630-010-9335-z
– ident: CR35
– ident: CR54
– volume: 9
  start-page: e12481
  issue: 1
  year: 2023
  ident: CR64
  article-title: Feasibility of intelligent drug control in the maintenance phase of general anesthesia based on convolutional neural network
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2022.e12481
– volume: 35
  start-page: 357
  issue: 3
  year: 2007
  end-page: 362
  ident: CR48
  article-title: Closed-loop anaesthesia delivery system (CLADS) using bispectral index: a performance assessment study
  publication-title: Anaesth Intensive Care
  doi: 10.1177/0310057x0703500306
– volume: 105
  start-page: 1629
  issue: 6
  year: 2007
  end-page: 38
  ident: CR46
  article-title: Estimation of optimal modeling weights for a Bayesian-based closed-loop system for propofol administration using the bispectral index as a controlled variable: a simulation study
  publication-title: Anesth Analg.
  doi: 10.1213/01.ane.0000287269.06170.0f
– volume: 137
  start-page: 104267
  year: 2023
  ident: CR75
  article-title: Optimizing warfarin dosing using deep reinforcement learning
  publication-title: J Biomed Inform
  doi: 10.1016/j.jbi.2022.104267
– volume: 126
  start-page: 808
  issue: 4
  year: 2021
  end-page: 817
  ident: CR20
  article-title: Deep learning models for the prediction of intraoperative hypotension
  publication-title: Br J Anaesth
  doi: 10.1016/j.bja.2020.12.035
– volume: 37
  start-page: 7
  issue: 1
  year: 2023
  ident: CR76
  article-title: Cryptographic Competitions
  publication-title: J Cryptol
  doi: 10.1007/s00145-023-09467-1
– volume: 154
  start-page: 725
  issue: 8
  year: 2019
  end-page: 736
  ident: CR7
  article-title: Association between use of enhanced recovery after surgery protocol and postoperative complications in colorectal surgery: the Postoperative Outcomes Within Enhanced Recovery after surgery protocol (POWER) study
  publication-title: JAMA Surg
  doi: 10.1001/jamasurg.2019.0995
– volume: 44
  start-page: 44
  issue: 2
  year: 2020
  ident: CR73
  article-title: A convolutional neural network for real time classification, identification, and labelling of vocal cord and tracheal using laryngoscopy and bronchoscopy video
  publication-title: J Med Syst
  doi: 10.1007/s10916-019-1481-4
– volume: 35
  start-page: 993
  issue: 5
  year: 2021
  end-page: 1005
  ident: CR18
  article-title: Quantitative assessment of consciousness during anesthesia without EEG data
  publication-title: J Clin Monit Comput.
  doi: 10.1007/s10877-020-00553-4
– ident: CR19
– volume: 132
  start-page: 1920
  issue: 20
  year: 2015
  end-page: 1930
  ident: CR9
  article-title: Machine learning in medicine
  publication-title: Circulation
  doi: 10.1161/circulationaha.115.001593
– volume: 2
  start-page: 749
  issue: 10
  year: 2018
  end-page: 760
  ident: CR21
  article-title: Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
  publication-title: Nat Biomed Eng
  doi: 10.1038/s41551-018-0304-0
– volume: 408
  start-page: 4
  year: 2021
  end-page: 6
  ident: CR66
  article-title: Anaesthesia, nerve blocks and artificial intelligence
  publication-title: Anaesthesia News
– year: 2018
  ident: CR58
  article-title: Development and in silico evaluation of a model-based closed-loop fluid resuscitation control algorithm
  publication-title: IEEE Trans Biomed Eng
  doi: 10.1109/tbme.2018.2880927
– volume: 130
  start-page: 217
  issue: 2
  year: 2023
  end-page: 225
  ident: CR67
  article-title: Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study
  publication-title: Br J Anaesth
  doi: 10.1016/j.bja.2022.06.031
– volume: 309
  start-page: 131
  year: 2019
  end-page: 142
  ident: CR41
  article-title: Optimal adaptive control of drug dosing using integral reinforcement learning
  publication-title: Math Biosci
  doi: 10.1016/j.mbs.2019.01.012
– ident: CR5
– volume: 8
  start-page: e25658
  issue: 3
  year: 2022
  ident: CR38
  article-title: A Bayesian network to predict the risk of post influenza vaccination Guillain-Barré syndrome: development and validation study
  publication-title: JMIR Public Health Surveill
  doi: 10.2196/25658
– volume: 10
  start-page: 1
  issue: 1
  year: 2023
  ident: CR31
  article-title: MIMIC-IV, a freely accessible electronic health record dataset
  publication-title: Sci Data
  doi: 10.1038/s41597-022-01899-x
– volume: 13
  start-page: 658
  issue: 4
  year: 2019
  end-page: 669
  ident: CR16
  article-title: Design and implementation of a machine learning based EEG processor for accurate estimation of depth of anesthesia
  publication-title: IEEE Trans Biomed Circuits Syst
  doi: 10.1109/tbcas.2019.2921875
– volume: 21
  start-page: 246
  issue: 1
  year: 2021
  ident: CR68
  article-title: Machine learning approach to needle insertion site identification for spinal anesthesia in obese patients
  publication-title: BMC Anesthesiol
  doi: 10.1186/s12871-021-01466-8
– volume: 147
  year: 2024
  ident: CR74
  article-title: Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2023.102726
– volume: 19
  start-page: 57
  issue: Suppl 2
  year: 2019
  ident: CR43
  article-title: Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
  publication-title: BMC Med Inform Decis Mak
  doi: 10.1186/s12911-019-0763-6
– volume: 9
  start-page: 1054
  issue: 5
  year: 1998
  ident: CR12
  article-title: Reinforcement learning: an Introduction
  publication-title: IEEE Transact Neur Netw.
  doi: 10.1109/TNN.1998.712192
– year: 2022
  ident: CR28
  article-title: Machine learning for dynamic and early prediction of acute kidney injury after cardiac surgery
  publication-title: J Thorac Cardiovasc Surg
  doi: 10.1016/j.jtcvs.2022.09.045
– volume: 45
  start-page: 2884
  issue: 7
  year: 2018
  end-page: 2897
  ident: CR37
  article-title: An image-guided radiotherapy decision support framework incorporating a Bayesian network and visualization tool
  publication-title: Med Phys
  doi: 10.1002/mp.12979
– volume: 24
  start-page: 1716
  issue: 11
  year: 2018
  end-page: 1720
  ident: CR42
  article-title: The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0213-5
– volume: 35
  start-page: 650
  issue: 9
  year: 2018
  end-page: 658
  ident: CR55
  article-title: Implementation of closed-loop-assisted intra-operative goal-directed fluid therapy during major abdominal surgery: A case-control study with propensity matching
  publication-title: Eur J Anaesthesiol
  doi: 10.1097/eja.0000000000000827
– volume: 10
  start-page: 1203023
  year: 2023
  ident: CR72
  article-title: Geometric morphometrics and machine learning from three-dimensional facial scans for difficult mask ventilation prediction
  publication-title: Front Med (Lausanne)
  doi: 10.3389/fmed.2023.1203023
– volume: 170
  start-page: 320
  issue: 1
  year: 2021
  end-page: 324
  ident: CR33
  article-title: Multiobjective optimization challenges in perioperative anesthesia: a review
  publication-title: Surgery
  doi: 10.1016/j.surg.2020.11.005
– ident: CR14
– ident: CR2
– volume: 31
  start-page: 617
  issue: 3
  year: 2017
  end-page: 623
  ident: CR59
  article-title: Performance of a closed-loop feedback computer-controlled infusion system for maintaining blood pressure during spinal anaesthesia for caesarean section: a randomized controlled comparison of norepinephrine versus phenylephrine
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-016-9883-z
– ident: CR30
– volume: 95
  start-page: 6
  issue: 1
  year: 2001
  end-page: 17
  ident: CR45
  article-title: Comparison of closed-loop controlled administration of propofol using Bispectral Index as the controlled variable versus “standard practice” controlled administration
  publication-title: Anesthesiology
  doi: 10.1097/00000542-200107000-00007
– ident: CR10
– volume: 2
  start-page: 719
  issue: 10
  year: 2018
  end-page: 731
  ident: CR11
  article-title: Artificial intelligence in healthcare
  publication-title: Nat Biomed Eng
  doi: 10.1038/s41551-018-0305-z
– volume: 125
  start-page: 117
  issue: 1
  year: 2017
  end-page: 123
  ident: CR60
  article-title: Closed-loop feedback computer-controlled phenylephrine for maintenance of blood pressure during spinal anesthesia for cesarean delivery: a randomized trial comparing automated boluses versus infusion
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000001974
– volume: 40
  start-page: 1741
  issue: 7
  year: 2016
  end-page: 1747
  ident: CR6
  article-title: Adherence to the ERAS protocol is associated with 5-year survival after colorectal cancer surgery: a retrospective cohort study
  publication-title: World J Surg
  doi: 10.1007/s00268-016-3460-y
– volume: 37
  start-page: 81
  issue: 1
  year: 2018
  end-page: 92
  ident: CR69
  article-title: Automatic Localization of the Needle Target for Ultrasound-Guided Epidural Injections
  publication-title: IEEE Trans Med Imaging
  doi: 10.1109/tmi.2017.2739110
– volume: 136
  year: 2021
  ident: CR71
  article-title: Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2021.104737
– volume: 112
  start-page: 360
  issue: 2
  year: 2011
  end-page: 367
  ident: CR50
  article-title: Reinforcement learning: a novel method for optimal control of propofol-induced hypnosis
  publication-title: Anesth Analg
  doi: 10.1213/ANE.0b013e31820334a7
– volume: 44
  start-page: 368
  issue: 2
  year: 2016
  end-page: 374
  ident: CR4
  article-title: Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards
  publication-title: Crit Care Med
  doi: 10.1097/ccm.0000000000001571
– volume: 10
  start-page: 17078
  year: 2022
  end-page: 17097
  ident: CR13
  article-title: Framework for deep learning-based language models using multi-task learning in natural language understanding: a systematic literature review and future directions
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3149798
– volume: 307
  start-page: 2295
  issue: 21
  year: 2012
  end-page: 2304
  ident: CR25
  article-title: Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery
  publication-title: JAMA
  doi: 10.1001/jama.2012.5502
– volume: 104
  start-page: 686
  issue: 4
  year: 2006
  end-page: 695
  ident: CR47
  article-title: Titration of propofol for anesthetic induction and maintenance guided by the bispectral index: closed-loop versus manual control: a prospective, randomized, multicenter study
  publication-title: Anesthesiology
  doi: 10.1097/00000542-200604000-00012
– volume: 25
  start-page: 24
  issue: 1
  year: 2019
  end-page: 29
  ident: CR1
  article-title: A guide to deep learning in healthcare
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0316-z
– volume: 130
  start-page: 1201
  issue: 5
  year: 2020
  end-page: 1210
  ident: CR22
  article-title: Forecasting a crisis: machine-learning models predict occurrence of intraoperative bradycardia associated with hypotension
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000004636
– volume: 5
  start-page: 180178
  year: 2018
  ident: CR32
  article-title: The eICU collaborative research database, a freely available multi-center database for critical care research
  publication-title: Sci Data
  doi: 10.1038/sdata.2018.178
– volume: 9
  start-page: 1005901
  year: 2022
  ident: CR39
  article-title: Optimization of anesthetic decision-making in ERAS using Bayesian network
  publication-title: Front Med (Lausanne)
  doi: 10.3389/fmed.2022.1005901
– volume: 28
  start-page: 27
  issue: 1
  year: 2014
  end-page: 34
  ident: CR53
  article-title: A technical description of a novel pharmacological anesthesia robot
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-013-9451-8
– ident: CR65
– volume: 14
  start-page: 825
  issue: 4
  year: 2020
  end-page: 837
  ident: CR17
  article-title: A real-time depth of anesthesia monitoring system based on deep neural network with large EDO tolerant EEG analog front-end
  publication-title: IEEE Trans Biomed Circuits Syst
  doi: 10.1109/tbcas.2020.2998172
– volume: 231
  start-page: 109828
  year: 2023
  ident: CR77
  article-title: Multi-authority anonymous authentication with public accountability for incentive-based applications
  publication-title: Comput Netw
  doi: 10.1016/j.comnet.2023.109828
– volume: 373
  start-page: 2258
  issue: 23
  year: 2015
  end-page: 2269
  ident: CR26
  article-title: Cardiac complications in patients undergoing major noncardiac surgery
  publication-title: N Engl J Med
  doi: 10.1056/NEJMra1502824
– volume: 20
  start-page: 124
  issue: Suppl 3
  year: 2020
  ident: CR44
  article-title: Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
  publication-title: BMC Med Inform Decis Mak
  doi: 10.1186/s12911-020-1120-5
– volume: 6
  start-page: e2322285
  issue: 7
  year: 2023
  ident: CR29
  article-title: Development and validation of a machine learning model to identify patients before surgery at high risk for postoperative adverse events
  publication-title: JAMA Netw Open
  doi: 10.1001/jamanetworkopen.2023.22285
– volume: 32
  start-page: 5
  issue: 1
  year: 2018
  end-page: 11
  ident: CR62
  article-title: Feasibility of automated titration of vasopressor infusions using a novel closed-loop controller
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-017-9981-6
– volume: 33
  start-page: 795
  issue: 5
  year: 2019
  end-page: 802
  ident: CR63
  article-title: Closed-loop vasopressor control: in-silico study of robustness against pharmacodynamic variability
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-018-0234-0
– volume: 90
  start-page: 111194
  year: 2023
  ident: CR27
  article-title: Development of an automated, general-purpose prediction tool for postoperative respiratory failure using machine learning: A retrospective cohort study
  publication-title: J Clin Anesth
  doi: 10.1016/j.jclinane.2023.111194
– ident: CR34
– volume: 30
  start-page: 474
  issue: 4
  year: 2010
  end-page: 483
  ident: CR40
  article-title: Markov decision processes: a tool for sequential decision making under uncertainty
  publication-title: Med Decis Making
  doi: 10.1177/0272989x09353194
– volume: 114
  start-page: 886
  issue: 6
  year: 2015
  end-page: 892
  ident: CR57
  article-title: Goal-directed fluid therapy with closed-loop assistance during moderate risk surgery using noninvasive cardiac output monitoring: a pilot study
  publication-title: Br J Anaesth
  doi: 10.1093/bja/aev002
– ident: CR24
– volume: 126
  start-page: 808
  issue: 4
  year: 2021
  ident: 68_CR20
  publication-title: Br J Anaesth
  doi: 10.1016/j.bja.2020.12.035
– volume: 90
  start-page: 111194
  year: 2023
  ident: 68_CR27
  publication-title: J Clin Anesth
  doi: 10.1016/j.jclinane.2023.111194
– volume: 10
  start-page: 1
  issue: 1
  year: 2023
  ident: 68_CR31
  publication-title: Sci Data
  doi: 10.1038/s41597-022-01899-x
– volume: 8
  start-page: e25658
  issue: 3
  year: 2022
  ident: 68_CR38
  publication-title: JMIR Public Health Surveill
  doi: 10.2196/25658
– volume: 35
  start-page: 993
  issue: 5
  year: 2021
  ident: 68_CR18
  publication-title: J Clin Monit Comput.
  doi: 10.1007/s10877-020-00553-4
– ident: 68_CR10
– volume: 5
  start-page: 180178
  year: 2018
  ident: 68_CR32
  publication-title: Sci Data
  doi: 10.1038/sdata.2018.178
– volume: 136
  year: 2021
  ident: 68_CR71
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2021.104737
– volume: 12
  start-page: 545
  issue: 4
  year: 2023
  ident: 68_CR70
  publication-title: Hepatobiliary Surg Nutr.
  doi: 10.21037/hbsn-23-46
– ident: 68_CR30
  doi: 10.1093/ageing/afad086
– volume: 2
  start-page: 719
  issue: 10
  year: 2018
  ident: 68_CR11
  publication-title: Nat Biomed Eng
  doi: 10.1038/s41551-018-0305-z
– volume: 110
  start-page: 1031
  issue: 6
  year: 2013
  ident: 68_CR52
  publication-title: Br J Anaesth
  doi: 10.1093/bja/aet001
– ident: 68_CR65
  doi: 10.3390/healthcare11020184
– volume: 31
  start-page: 617
  issue: 3
  year: 2017
  ident: 68_CR59
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-016-9883-z
– volume: 33
  start-page: 795
  issue: 5
  year: 2019
  ident: 68_CR63
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-018-0234-0
– volume: 44
  start-page: 368
  issue: 2
  year: 2016
  ident: 68_CR4
  publication-title: Crit Care Med
  doi: 10.1097/ccm.0000000000001571
– volume: 88
  start-page: 434
  issue: 8
  year: 1988
  ident: 68_CR36
  publication-title: J Philos
– volume: 37
  start-page: 81
  issue: 1
  year: 2018
  ident: 68_CR69
  publication-title: IEEE Trans Med Imaging
  doi: 10.1109/tmi.2017.2739110
– volume: 307
  start-page: 2295
  issue: 21
  year: 2012
  ident: 68_CR25
  publication-title: JAMA
  doi: 10.1001/jama.2012.5502
– volume: 68
  start-page: 143
  issue: 668
  year: 2018
  ident: 68_CR3
  publication-title: Br J Gen Pract
  doi: 10.3399/bjgp18X695213
– volume: 30
  start-page: 474
  issue: 4
  year: 2010
  ident: 68_CR40
  publication-title: Med Decis Making
  doi: 10.1177/0272989x09353194
– volume: 21
  start-page: 246
  issue: 1
  year: 2021
  ident: 68_CR68
  publication-title: BMC Anesthesiol
  doi: 10.1186/s12871-021-01466-8
– volume: 45
  start-page: 2884
  issue: 7
  year: 2018
  ident: 68_CR37
  publication-title: Med Phys
  doi: 10.1002/mp.12979
– volume: 2
  start-page: 749
  issue: 10
  year: 2018
  ident: 68_CR21
  publication-title: Nat Biomed Eng
  doi: 10.1038/s41551-018-0304-0
– volume: 130
  start-page: 1661
  issue: 6
  year: 2020
  ident: 68_CR51
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000004208
– ident: 68_CR34
  doi: 10.1016/B978-0-08-051489-5.50008-4
– year: 2018
  ident: 68_CR58
  publication-title: IEEE Trans Biomed Eng
  doi: 10.1109/tbme.2018.2880927
– volume: 231
  start-page: 109828
  year: 2023
  ident: 68_CR77
  publication-title: Comput Netw
  doi: 10.1016/j.comnet.2023.109828
– volume: 125
  start-page: 117
  issue: 1
  year: 2017
  ident: 68_CR60
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000001974
– volume: 309
  start-page: 131
  year: 2019
  ident: 68_CR41
  publication-title: Math Biosci
  doi: 10.1016/j.mbs.2019.01.012
– volume: 130
  start-page: 1201
  issue: 5
  year: 2020
  ident: 68_CR22
  publication-title: Anesth Analg
  doi: 10.1213/ane.0000000000004636
– volume: 9
  start-page: e12481
  issue: 1
  year: 2023
  ident: 68_CR64
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2022.e12481
– volume: 130
  start-page: 394
  issue: 3
  year: 2019
  ident: 68_CR61
  publication-title: Anesthesiology.
  doi: 10.1097/aln.0000000000002581
– volume: 32
  start-page: 5
  issue: 1
  year: 2018
  ident: 68_CR62
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-017-9981-6
– ident: 68_CR54
  doi: 10.3390/jcm12206611
– volume: 19
  start-page: 94
  issue: 1
  year: 2015
  ident: 68_CR56
  publication-title: Crit Care
  doi: 10.1186/s13054-015-0827-7
– volume: 24
  start-page: 1716
  issue: 11
  year: 2018
  ident: 68_CR42
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0213-5
– volume: 19
  start-page: 57
  issue: Suppl 2
  year: 2019
  ident: 68_CR43
  publication-title: BMC Med Inform Decis Mak
  doi: 10.1186/s12911-019-0763-6
– volume: 95
  start-page: 6
  issue: 1
  year: 2001
  ident: 68_CR45
  publication-title: Anesthesiology
  doi: 10.1097/00000542-200107000-00007
– volume: 29
  start-page: 721
  issue: 3
  year: 2023
  ident: 68_CR15
  publication-title: Clin Mol Hepatol
  doi: 10.3350/cmh.2023.0089
– volume: 130
  start-page: 217
  issue: 2
  year: 2023
  ident: 68_CR67
  publication-title: Br J Anaesth
  doi: 10.1016/j.bja.2022.06.031
– volume: 9
  start-page: 1054
  issue: 5
  year: 1998
  ident: 68_CR12
  publication-title: IEEE Transact Neur Netw.
  doi: 10.1109/TNN.1998.712192
– ident: 68_CR35
– ident: 68_CR5
  doi: 10.3390/jcm7110428
– ident: 68_CR24
  doi: 10.48550/arXiv.2401.06091
– volume: 5
  start-page: e2246637
  issue: 12
  year: 2022
  ident: 68_CR23
  publication-title: JAMA Netw Open
  doi: 10.1001/jamanetworkopen.2022.46637
– volume: 105
  start-page: 1629
  issue: 6
  year: 2007
  ident: 68_CR46
  publication-title: Anesth Analg.
  doi: 10.1213/01.ane.0000287269.06170.0f
– volume: 132
  start-page: 1920
  issue: 20
  year: 2015
  ident: 68_CR9
  publication-title: Circulation
  doi: 10.1161/circulationaha.115.001593
– volume: 35
  start-page: 650
  issue: 9
  year: 2018
  ident: 68_CR55
  publication-title: Eur J Anaesthesiol
  doi: 10.1097/eja.0000000000000827
– ident: 68_CR14
  doi: 10.48550/arXiv.2306.02754
– volume: 147
  year: 2024
  ident: 68_CR74
  publication-title: Artif Intell Med
  doi: 10.1016/j.artmed.2023.102726
– volume: 373
  start-page: 2258
  issue: 23
  year: 2015
  ident: 68_CR26
  publication-title: N Engl J Med
  doi: 10.1056/NEJMra1502824
– volume: 112
  start-page: 360
  issue: 2
  year: 2011
  ident: 68_CR50
  publication-title: Anesth Analg
  doi: 10.1213/ANE.0b013e31820334a7
– volume: 37
  start-page: 7
  issue: 1
  year: 2023
  ident: 68_CR76
  publication-title: J Cryptol
  doi: 10.1007/s00145-023-09467-1
– volume: 10
  start-page: 1203023
  year: 2023
  ident: 68_CR72
  publication-title: Front Med (Lausanne)
  doi: 10.3389/fmed.2023.1203023
– ident: 68_CR2
  doi: 10.1109/GPECOM58364.2023.10175760
– volume: 2011
  start-page: 590
  year: 2012
  ident: 68_CR8
  publication-title: Proc (IEEE Int Conf Bioinform Biomed)
  doi: 10.1109/bibm.2011.79
– volume: 6
  start-page: e2322285
  issue: 7
  year: 2023
  ident: 68_CR29
  publication-title: JAMA Netw Open
  doi: 10.1001/jamanetworkopen.2023.22285
– volume: 170
  start-page: 320
  issue: 1
  year: 2021
  ident: 68_CR33
  publication-title: Surgery
  doi: 10.1016/j.surg.2020.11.005
– volume: 57
  start-page: 725
  issue: 8
  year: 2010
  ident: 68_CR49
  publication-title: Can J Anaesth
  doi: 10.1007/s12630-010-9335-z
– volume: 14
  start-page: 825
  issue: 4
  year: 2020
  ident: 68_CR17
  publication-title: IEEE Trans Biomed Circuits Syst
  doi: 10.1109/tbcas.2020.2998172
– volume: 114
  start-page: 886
  issue: 6
  year: 2015
  ident: 68_CR57
  publication-title: Br J Anaesth
  doi: 10.1093/bja/aev002
– volume: 104
  start-page: 686
  issue: 4
  year: 2006
  ident: 68_CR47
  publication-title: Anesthesiology
  doi: 10.1097/00000542-200604000-00012
– volume: 13
  start-page: 658
  issue: 4
  year: 2019
  ident: 68_CR16
  publication-title: IEEE Trans Biomed Circuits Syst
  doi: 10.1109/tbcas.2019.2921875
– volume: 137
  start-page: 104267
  year: 2023
  ident: 68_CR75
  publication-title: J Biomed Inform
  doi: 10.1016/j.jbi.2022.104267
– volume: 25
  start-page: 24
  issue: 1
  year: 2019
  ident: 68_CR1
  publication-title: Nat Med
  doi: 10.1038/s41591-018-0316-z
– volume: 35
  start-page: 357
  issue: 3
  year: 2007
  ident: 68_CR48
  publication-title: Anaesth Intensive Care
  doi: 10.1177/0310057x0703500306
– volume: 10
  start-page: 17078
  year: 2022
  ident: 68_CR13
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3149798
– volume: 28
  start-page: 27
  issue: 1
  year: 2014
  ident: 68_CR53
  publication-title: J Clin Monit Comput
  doi: 10.1007/s10877-013-9451-8
– volume: 44
  start-page: 44
  issue: 2
  year: 2020
  ident: 68_CR73
  publication-title: J Med Syst
  doi: 10.1007/s10916-019-1481-4
– volume: 9
  start-page: 1005901
  year: 2022
  ident: 68_CR39
  publication-title: Front Med (Lausanne)
  doi: 10.3389/fmed.2022.1005901
– volume: 40
  start-page: 1741
  issue: 7
  year: 2016
  ident: 68_CR6
  publication-title: World J Surg
  doi: 10.1007/s00268-016-3460-y
– ident: 68_CR19
  doi: 10.1109/tnnls.2023.3273187
– volume: 154
  start-page: 725
  issue: 8
  year: 2019
  ident: 68_CR7
  publication-title: JAMA Surg
  doi: 10.1001/jamasurg.2019.0995
– volume: 408
  start-page: 4
  year: 2021
  ident: 68_CR66
  publication-title: Anaesthesia News
– year: 2022
  ident: 68_CR28
  publication-title: J Thorac Cardiovasc Surg
  doi: 10.1016/j.jtcvs.2022.09.045
– volume: 20
  start-page: 124
  issue: Suppl 3
  year: 2020
  ident: 68_CR44
  publication-title: BMC Med Inform Decis Mak
  doi: 10.1186/s12911-020-1120-5
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Snippet Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and dynamic...
Abstract Perioperative anesthetic management entails a multitude of decision-making processes within complex medical scenarios. These demand the continuous and...
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SubjectTerms Anesthesiology
Big data
Critical Care Medicine
Intensive
Machine learning
Medicine
Medicine & Public Health
Neurosciences
Perioperative management
Pharmacology/Toxicology
Prediction
Review Article
Surgery
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Title The applications and prospects of big data in perioperative anesthetic management
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