Artificial Intelligence in Surgery and Perioperative Medicine

Articles published in 2025 in this theme: 16 (scroll down to load remaining articles)

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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Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res 2025 (Mar 19); 27:e58021

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Machine Learning Models With Prognostic Implications for Predicting Gastrointestinal Bleeding After Coronary Artery Bypass Grafting and Guiding Personalized Medicine: Multicenter Cohort Study

Jiale Dong, Zhechuan Jin, Chengxiang Li, Jian Yang, Yi Jiang, Zeqian Li, Cheng Chen, Bo Zhang, Zhaofei Ye, Yang Hu, Jianguo Ma, Ping Li, Yulin Li, Dongjin Wang, Zhili Ji

J Med Internet Res 2025 (Mar 06); 27:e68509

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Machine Learning–Based Prediction of Early Complications Following Surgery for Intestinal Obstruction: Multicenter Retrospective Study

Pinjie Huang, Jirong Yang, Dizhou Zhao, Taojia Ran, Yuheng Luo, Dong Yang, Xueqin Zheng, Shaoli Zhou, Chaojin Chen

J Med Internet Res 2025 (Mar 03); 27:e68354

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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study

Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

J Med Internet Res 2025 (Jan 22); 27:e66612

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A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

Zhendong Ding, Linan Zhang, Yihan Zhang, Jing Yang, Yuheng Luo, Mian Ge, Weifeng Yao, Ziqing Hei, Chaojin Chen

J Med Internet Res 2025 (Jan 15); 27:e55046

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Development and Validation of a Routine Electronic Health Record-Based Delirium Prediction Model for Surgical Patients Without Dementia: Retrospective Case-Control Study

Emma Holler, Christina Ludema, Zina Ben Miled, Molly Rosenberg, Corey Kalbaugh, Malaz Boustani, Sanjay Mohanty

JMIR Perioper Med 2025 (Jan 09); 8:e59422

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