Artificial Intelligence

Articles published in 2025 in this theme: 732 (scroll down to load remaining articles)

2025

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Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims Database

Yijun Liu, Mustapha Oloko-Oba, Kathryn A Wood, Michael S Lloyd, Joyce C Ho, Vicki Stover Hertzberg

JMIR Cardio 2025 (Dec 31); 9:e77380

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Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study

Samuel Ming Xuan Tan, May Yen Lieu, Jun Kai, Zixu Yang, Luke KK, May O Lwin, Jimmy Lee, Wilson Wen Bin Goh

JMIR Form Res 2025 (Dec 30); 9:e75960

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Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Han Wenzheng, Edmund F Agyemang, Sudesh K Srivastav, Jeffrey G Shaffer, Samuel Kakraba

JMIR Aging 2025 (Dec 30); 8:e70272

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Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study

Isabel B Weir, Austin M Stroud, Jeremiah J Stout, Barbara A Barry, Arjun P Athreya, William V Bobo, Richard R Sharp

JMIR Ment Health 2025 (Dec 30); 12:e81970

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Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp

Taiki W Nishihara, Fritz Gerald P Kalaw, Adelle Engmann, Aya Motoyoshi, Paapa Mensah-Kane, Deepa Gupta, Victoria Patronilo, Linda M Zangwill, Shahin Hallaj, Amirhossein Panahi, Garrison W Cottrell, Bradley Voytek, Virginia R de Sa, Sally L Baxter

JMIR Med Educ 2025 (Dec 29); 11:e83154

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Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients With Chronic Coronary Syndrome by Using Interpretable Machine Learning Models: Retrospective Study

Jiayi Ding, Guanqi Lyu, Masaharu Nakayama, Kotaro Nochioka, Jun Takahashi, Satoshi Yasuda, Tetsuya Matoba, Takahide Kohro, Naoyuki Akashi, Hideo Fujita, Yusuke Oba, Tomoyuki Kabutoya, Kazuomi Kario, Yasushi Imai, Arihiro Kiyosue, Yoshiko Mizuno, Takamasa Iwai, Yoshihiro Miyamoto, Masanobu Ishii, Kenichi Tsujita, Taishi Nakamura, Hisahiko Sato, Ryozo Nagai

JMIR Med Inform 2025 (Dec 29); 13:e77839

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Systematic Determinants of Global COVID-19 Burden: Longitudinal Time-Series Analysis Using Big Data-Driven Artificial Intelligence

Zicheng Cao, Wenjie Han, Xue Zhang, Chi Zhang, Jinfeng Zeng, Yilin Chen, Haoyu Long, Jian Chen, Xiangjun Du

J Med Internet Res 2025 (Dec 29); 27:e79745

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ChatGPT Clinical Use in Mental Health Care: Scoping Review of Empirical Evidence

Raluca Balan, Thomas P Gumpel

JMIR Ment Health 2025 (Dec 24); 12:e81204

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Adherence to Accelerometer Use in Older Adults Undergoing mHealth Cardiac Rehabilitation: Secondary Analysis of a Randomized Clinical Trial

Souptik Barua, Dhairya Upadhyay, Stephanie Pena, Riley McConnell, Ashwini Varghese, Samrachana Adhikari, Erik LeRoy, Antoinette Schoenthaler, John A Dodson

J Med Internet Res 2025 (Dec 23); 27:e80522

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Prognostic Prediction Models for Ulcerative Colitis: Systematic Review and Meta-Analysis

Zhijun Bu, Yuan Sun, Zeyang Shi, Liming Hu, Chuanlan Ju, Yuan Liu, Jing An, Huiyi Sun, Jianping Liu, Zhaolan Liu

J Med Internet Res 2025 (Dec 22); 27:e71944

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A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study

Xu Cheng, Ping Li, Enqing Meng, Xinyi Wu, Hao Wu

JMIR Med Inform 2025 (Dec 22); 13:e82533

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Efficacy of Artificial Intelligence–Assisted Appliances in the Selection of Tooth Shade: Protocol for an Observational Study

Namita Zilpilwar, Sharayu Nimonkar, Surekha Godbole, Vikram Belkhode

JMIR Res Protoc 2025 (Dec 22); 14:e68160

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Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study

Chirathit Anusitviwat, Sitthiphong Suwannaphisit, Jongdee Bvonpanttarananon, Boonsin Tangtrakulwanich

JMIR Form Res 2025 (Dec 19); 9:e75607

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Authors’ Reply: Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Dhavalkumar Patel, Eyal Klang, Prem Timsina

JMIR AI 2025 (Dec 19); 4:e73342

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Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Joshua George Kovoor, Gavin John Carmichael, Brandon Stretton, Aashray K Gupta, Oliver S Kleinig, Mana Ittimani, Jack Fabian, Sheryn Tan, Jeng Swen Ng, Shrirajh Sateakeerthy, Andrew Booth, Alexander Beath, John Kefalianos, Mathew Ollapallil Jacob, Sadeya Ahmed, WengOnn Chan, Pramesh Kovoor, Samuel Gluck, Toby Gilbert, James Malycha, Benjamin A Reddi, Robert T Padbury, Markus I Trochsler, Guy J Maddern, Derek P Chew, Andrew C Zannettino, Danny Liew, John F Beltrame, Patrick G O’Callaghan, Cynthia Papendick, Stephen Bacchi

JMIR AI 2025 (Dec 19); 4:e67321

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Performance of DeepSeek-R1, ChatGPT (GPT-o3-mini), and Gemini 2.0 Flash on German Medical Multiple-Choice Questions: Comparative Evaluation

Annika Meyer, Yassin Karay, Andrea U Steinbicker, Thomas Streichert, Remco Overbeek

JMIR Form Res 2025 (Dec 18); 9:e77357

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Physical Examination Identification in Medical Education Videos: Zero-Shot Multimodal AI With Temporal Sequence Optimization Study

Shinyoung Kang, Michael Holcomb, David Hein, Ameer Hamza Shakur, Thomas Dalton, Andrew Jamieson

JMIR AI 2025 (Dec 18); 4:e76586

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A Hybrid Rule- and Large Language Model–Based Embodied Voice Assistant (GRACE) for Cognitive Stimulation in Older Adults: Usability Study Assessing Technical Feasibility, Technology Acceptance, and Working Alliance

Rasita Vinay, Ekaterina Uetova, Nora Camilla Tommila, Nikola Biller-Andorno, Tobias Kowatsch

JMIR Aging 2025 (Dec 18); 8:e76489

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AI-Based Gait Analysis System for Rehabilitation: Usability Evaluation of Human-Technology Interaction

Seojin Hong, Hyun Choi, Hyosun Kweon

JMIR Rehabil Assist Technol 2025 (Dec 18); 12:e80748

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Evaluating the Accuracy of Medical Information Generated by ChatGPT and Gemini and Its Alignment With International Clinical Guidelines From the Surviving Sepsis Campaign: Comparative Study

Dina Kutbi, Ehab Abou-Bakr, Hassan Mousa Haidar

JMIR Form Res 2025 (Dec 17); 9:e84251

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