Artificial Intelligence in Surgery and Perioperative Medicine

The Vast Potential of ChatGPT in Pediatric Surgery

Ran Tang, Shi-qin Qi

J Med Internet Res 2024 (Nov 18); 26:e66453

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The Diagnostic Ability of GPT-3.5 and GPT-4.0 in Surgery: Comparative Analysis

Jiayu Liu, Xiuting Liang, Dandong Fang, Jiqi Zheng, Chengliang Yin, Hui Xie, Yanteng Li, Xiaochun Sun, Yue Tong, Hebin Che, Ping Hu, Fan Yang, Bingxian Wang, Yuanyuan Chen, Gang Cheng, Jianning Zhang

J Med Internet Res 2024 (Sep 10); 26:e54985

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Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Feng-Fang Tsai, Yung-Chun Chang, Yu-Wen Chiu, Bor-Ching Sheu, Min-Huei Hsu, Huei-Ming Yeh

JMIR Form Res 2024 (Aug 21); 8:e54097

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Collaborative Human–Computer Vision Operative Video Analysis Algorithm for Analyzing Surgical Fluency and Surgical Interruptions in Endonasal Endoscopic Pituitary Surgery: Cohort Study

Chia-En Wong, Pei-Wen Chen, Heng-Jui Hsu, Shao-Yang Cheng, Chen-Che Fan, Yen-Chang Chen, Yi-Pei Chiu, Jung-Shun Lee, Sheng-Fu Liang

J Med Internet Res 2024 (Jul 04); 26:e56127

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An Immersive Virtual Reality Intervention for Preoperative Anxiety and Distress Among Adults Undergoing Oncological Surgery: Protocol for a 3-Phase Development and Feasibility Trial

Renée El-Gabalawy, Jordana L Sommer, Pamela Hebbard, Kristin Reynolds, Gabrielle S Logan, Michael S D Smith, Thomas C Mutter, W Alan Mutch, Natalie Mota, Catherine Proulx, Vincent Gagnon Shaigetz, Jessica L Maples-Keller, Rakesh C Arora, David Perrin, Jada Benedictson, Eric Jacobsohn

JMIR Res Protoc 2024 (May 14); 13:e55692

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Effectiveness of Virtual Reality in Reducing Perceived Pain and Anxiety Among Patients Within a Hospital System: Protocol for a Mixed Methods Study

Ajay Mittal, Jonathan Wakim, Suhaiba Huq, Tung Wynn

JMIR Res Protoc 2024 (May 09); 13:e52649

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Investigating the Impact of AI on Shared Decision-Making in Post-Kidney Transplant Care (PRIMA-AI): Protocol for a Randomized Controlled Trial

Bilgin Osmanodja, Zeineb Sassi, Sascha Eickmann, Carla Maria Hansen, Roland Roller, Aljoscha Burchardt, David Samhammer, Peter Dabrock, Sebastian Möller, Klemens Budde, Anne Herrmann

JMIR Res Protoc 2024 (Apr 01); 13:e54857

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JMIR Perioperative Medicine: A Global Journal for Publishing Interdisciplinary Innovations, Research, and Perspectives

Nidhi Rohatgi

JMIR Perioper Med 2023 (Nov 21); 6:e54344

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A New Index for the Quantitative Evaluation of Surgical Invasiveness Based on Perioperative Patients’ Behavior Patterns: Machine Learning Approach Using Triaxial Acceleration

Kozo Nakanishi, Hidenori Goto

JMIR Perioper Med 2023 (Nov 14); 6:e50188

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Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study

Koutarou Matsumoto, Yasunobu Nohara, Mikako Sakaguchi, Yohei Takayama, Syota Fukushige, Hidehisa Soejima, Naoki Nakashima, Masahiro Kamouchi

JMIR Perioper Med 2023 (Oct 26); 6:e50895

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Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating Room Scheduling: Protocol for a Development and Feasibility Study

Eleonora Bottani, Valentina Bellini, Monica Mordonini, Mattia Pellegrino, Gianfranco Lombardo, Beatrice Franchi, Michelangelo Craca, Elena Bignami

JMIR Res Protoc 2023 (Jul 05); 12:e45477

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Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development

Ruben S Zoodsma, Rian Bosch, Thomas Alderliesten, Casper W Bollen, Teus H Kappen, Erik Koomen, Arno Siebes, Joppe Nijman

JMIR Cardio 2023 (May 16); 7:e45190

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Application of Virtual and Augmented Reality Technology in Hip Surgery: Systematic Review

Peng Sun, Yao Zhao, Jie Men, Zhe-Ru Ma, Hao-Zhuo Jiang, Cheng-Yan Liu, Wei Feng

J Med Internet Res 2023 (Mar 10); 25:e37599

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A Neural Network Model Using Pain Score Patterns to Predict the Need for Outpatient Opioid Refills Following Ambulatory Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel, Sierra Simpson, William Zhong, Brittany Nicole Burton, Soraya Mehdipour, Engy Tadros Said

JMIR Perioper Med 2023 (Feb 08); 6:e40455

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Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra

JMIR Perioper Med 2023 (Jan 27); 6:e41056

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An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel, Bhavya Harjai, Sierra Simpson, Austin Liu Du, Jeffrey Logan Tully, Olivier George, Ruth Waterman

JMIR Perioper Med 2023 (Jan 26); 6:e39650

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The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study

Felix Jozsa, Rose Baker, Peter Kelly, Muneer Ahmed, Michael Douek

JMIR Perioper Med 2022 (Nov 15); 5(1):e34600

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Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study

Amit Bardia, Ranjit Deshpande, George Michel, David Yanez, Feng Dai, Nathan L Pace, Kevin Schuster, Michael R Mathis, Sachin Kheterpal, Robert B Schonberger

JMIR Perioper Med 2022 (Oct 05); 5(1):e37174

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Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study

Graeme McLeod, Iain Kennedy, Eilidh Simpson, Judith Joss, Katriona Goldmann

Interact J Med Res 2022 (Mar 30); 11(1):e34096

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Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Seo Jeong Shin, Jungchan Park, Seung-Hwa Lee, Kwangmo Yang, Rae Woong Park

JMIR Med Inform 2021 (Oct 14); 9(10):e32771

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