Artificial Intelligence in Surgery and Perioperative Medicine

Articles published in this theme: 53 (scroll down to load remaining articles)

2026

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AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study

Katharina Rump, Hartmuth Nowak, Martin Eisenacher, Samuel Busch, Britta Westhus, Matthias Unterberg, Sara Sordon, Lars Palmowski, Andrea Witowski, Malte Bayer, Thilo Bracht, Dominik Ziehe, Michael Adamzik, Tim Rahmel, Björn Koos, Lars Bergmann, Barbara Sitek

JMIR Res Protoc 2026 (May 25); 15:e87020

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Effectiveness of Virtual Reality Interventions on Perioperative Anxiety, Depression, Blood Pressure, and Heart Rate: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Shijin Wang, Hong Yan, Zhehui Yang, Yan Liu, Tingting Zhang, Yuanyuan Tang, Yuling Luo

JMIR Serious Games 2026 (May 19); 14:e81799

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Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study

Meredith Cox, Elaine Lin, Nicholas Oleck, Carlee Jones, Neill Y Li, Suhail K Mithani, Alexander C Allori

JMIR Med Inform 2026 (May 11); 14:e87133

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Physician Perspectives on ChatGPT-4o as a Patient Resource for Abdominal Cancer Surgeries: Cross-Sectional Survey

Christina V Lindsay, Devika A Shenoy, Allison N Martin, Christie L Clipper, Kevin N Shah, Michael E Lidsky, Daniel P Nussbaum, Ralph Snyderman

JMIR Perioper Med 2026 (May 04); 9:e81374

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Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Junqi Cui, Weijia Li, Enoch Chi Ngai Lim, Xiaoqin Wu, Chi Eung Danforn Lim

JMIR Form Res 2026 (Feb 25); 10:e80294

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Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study

Francesco Andrea Causio, Vittorio De Vita, Andrea Nappi, Melissa Sawaya, Bernardo Rocco, Nazario Foschi, Giuseppe Maioriello, Pierluigi Russo

JMIR Perioper Med 2026 (Feb 19); 9:e86666

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Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation

Kjersti Mevik, Ashenafi Zebene Woldaregay, Eva Lindell Jonsson, Miguel Tejedor, Claire Temple-Oberle

JMIR AI 2026 (Feb 17); 5:e75064

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Machine Learning for Predicting Venous Thromboembolism After Joint Arthroplasty: Systematic Review of Clinical Applicability and Model Performance

Junwei Ma, Huifeng Tang, Yunshan Zhang, Xuemei Yi, Tangsheng Zhong, Xinyun Li, Gang Wang

JMIR Med Inform 2026 (Feb 12); 14:e79886

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Exploiting Unsupervised Free-Living Data for Cardiorespiratory Fitness Estimation: Systematic Review and Meta-Analysis

Alexios Dosis, Aron Berger Syversen, Mikolaj R Kowal, Daniel Grant, Jim Tiernan, David Wong, David G Jayne

JMIR Mhealth Uhealth 2026 (Jan 27); 14:e69996

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Quality of Conventional versus Artificial Intelligence Oral Surgery Consent Forms: Comparative Analysis

Jan Gaessler, Bernhard Remschmidt, Ann-Kathrin Jopp, Behrouz Arefnia, Adrian Franke, Marcus Rieder

J Med Internet Res 2026 (Jan 05); 28:e59851

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2025

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Transforming Surgical Training With AI Techniques for Training, Assessment, and Evaluation: Scoping Review

David Escobar-Castillejos, Ari Y Barrera-Animas, Julieta Noguez, Alejandra J Magana, Bedrich Benes

J Med Internet Res 2025 (Nov 18); 27:e58966

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Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study

Changho Han, Sarah Soh, Je-Wook Park, Hui-Nam Pak, Dukyong Yoon

J Med Internet Res 2025 (Nov 10); 27:e77164

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Integrating a Multimodal Digital Device for Continuous Perioperative Monitoring in Patients With Lung Cancer Undergoing Thoracic Surgery: Development and Usability Study

Runchen Wang, Jianqi Zheng, Wenwei Guo, Haiqi Huang, Qixia Wang, Yihong Li, Manwan Lin, Linchong Huang, Qing Zhang, Kaishen Chen, Zhiming Ye, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yi Feng, Ying Huang, Ying Chen, Jianxing He, Hengrui Liang

JMIR Mhealth Uhealth 2025 (Sep 16); 13:e69512

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Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Rajagopal Subramaniam Chandrasekar, Michael Kane, Lakshmanan Krishnamurti

JMIR AI 2025 (Sep 15); 4:e64519

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Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Johnathan R Lex, Aazad Abbas, Jacob Mosseri, Jay Singh Toor, Michael Simone, Bheeshma Ravi, Cari Whyne, Elias B Khalil

JMIR Med Inform 2025 (Sep 10); 13:e70857

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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang

JMIR Med Inform 2025 (Aug 22); 13:e73995

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AI-Enhanced 3D Models in Global Virtual Reality Case Conferences for Surgical Care in a Low-Income Country: Exploratory Study

Miriam Obst, Jan Arensmeyer, Henrik Bonsmann, Andreas Kolbinger, Joel Kigenyi, Francis Oneka, Benard Owere, Joachim Schmidt, Philipp Feodorovici, Jan Wynands

JMIR Form Res 2025 (Aug 18); 9:e69300

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Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study

Hiroki Maruyama, Yoshitaka Toyama, Kentaro Takanami, Kei Takase, Takashi Kamei

JMIR Med Educ 2025 (Jul 30); 11:e69313

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Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis

Xin Li, Wen-yu Yang, Fan Zhang, Rui Shan, Fang Mei, Shi-Bing Song, Bang-Kai Sun, Jing Chen, Run-ze Hu, Yang Yang, Yi-hang Yang, Jing-yao Liu, Chun-Hui Yuan, Zheng Liu

JMIR Cancer 2025 (Jul 11); 11:e73069

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Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

Qendresa Parduzi, Jonathan Wermelinger, Simon Domingo Koller, Murat Sariyar, Ulf Schneider, Andreas Raabe, Kathleen Seidel

J Med Internet Res 2025 (Mar 24); 27:e63937

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