Machine Learning

Early Prediction of Cardiac Arrest Based on Time-Series Vital Signs Using Deep Learning: Retrospective Study

Yong Li, Lei Lv, Xia Wang

JMIR Form Res 2026 (Jan 09); 10:e78484

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Physical Activity Recommendations Tailored by a Predictive Model for Adults With High Blood Pressure: Observational Study

Yuhui Yang, Manqing Chen, Weiwei Hu, Yifan Fu, Xingyan Li, Zhenli Liao, Hongman Feng, Yaling Zhao, Leilei Pei, Baibing Mi, Fangyao Chen

J Med Internet Res 2026 (Jan 09); 28:e78492

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Artificial Intelligence in Diabetic Kidney Disease Research: Bibliometric Analysis From 2006 to 2024

Xingyuan Li, Liming Xiao, Fenghao Yang, Fang Liu

JMIR Diabetes 2026 (Jan 09); 11:e72616

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Technologies, Clinical Applications, and Implementation Barriers of Digital Twins in Precision Cardiology: Systematic Review

Fatemeh Sarani Rad, Ehsan Bitaraf, Maryam Jafarpour, Juan Li

JMIR Cardio 2026 (Jan 08); 10:e78499

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Developing an AI-Assisted Tool That Identifies Patients With Multimorbidity and Complex Polypharmacy to Improve the Process of Medication Reviews: Qualitative Interview and Focus Group Study

Aseel S Abuzour, Samantha A Wilson, Alan A Woodall, Frances S Mair, Asra Aslam, Andrew Clegg, Eduard Shantsila, Mark Gabbay, Michael Abaho, Danushka Bollegala, Harriet Cant, Alan Griffiths, Layik Hama, Gary Leeming, Emma Lo, Simon Maskell, Maurice O'Connell, Olusegun Popoola, Sam Relton, Roy A Ruddle, Pieta Schofield, Matthew Sperrin, Tjeerd Van Staa, Iain Buchan, Lauren E Walker

J Med Internet Res 2026 (Jan 08); 28:e74304

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AI for Detecting and Predicting Postpartum Depression: Scoping Review

Mais Alkhateeb, Ajisha Nayeem, Arfan Ahmed, Mohammed Alsahli, Javaid Sheikh, Alaa Abd-Alrazaq

J Med Internet Res 2026 (Jan 08); 28:e77376

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Assessment of Blood Glucose Measurement Using New Noninvasive Technology: Protocol and Methodology

Eka Widrian Suradji, Satvinder Singh Dhaliwal, Zhang Li-Feng, Entong Zhou, Amos Lim, Hui Hern Wong, Yao Du, Fredicia Fredicia, Amanda Dianky, Puspasari Pasaribu, Ernest Gamaliel Masayoshi Takashi, Justin Yong An Tan, Mardi Santoso, Seng Bin Ang

JMIR Res Protoc 2026 (Jan 08); 15:e76558

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Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation Study

Saima Alam, Mohammad Arif Ul Alam

JMIR AI 2026 (Jan 08); 5:e57025

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Machine and Deep Learning for Detection of Moderate-to-Vigorous Physical Activity From Accelerometer Data: Systematic Scoping Review

Yahua Zi, Sjors RB van de Ven, Eco JC de Geus, Peijie Chen

Interact J Med Res 2026 (Jan 08); 15:e76601

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National Institutes of Health–Funded Artificial Intelligence and Machine Learning Research, 2019‐2023: Cross-Sectional Study

Joshua Pei Le, Joseph Morrison, Atul Malhotra, Shamim Nemati, Gabriel Wardi, James S Ford

J Med Internet Res 2026 (Jan 08); 28:e84861

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Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Dou Liu, Ying Long, Sophia Zuoqiu, Di Liu, Kang Li, Yiting Lin, Hanyi Liu, Rong Yin, Tian Tang

J Med Internet Res 2026 (Jan 08); 28:e85206

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Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study

Jingxuan Wang, Jian Shi, Qing Ye, Danyang Chen, Yuhao Sun, Chao Pan, Yingxin Tang, Ping Zhang, Zhouping Tang

JMIR Med Inform 2026 (Jan 07); 14:e86327

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Automated Classification of Lymphoma Subtypes From Histopathological Images Using a U-Net Deep Learning Model: Comparative Evaluation Study

Jin Zhao, Xiaolian Wen, Li Ma, Liping Su

JMIR Med Inform 2026 (Jan 06); 14:e72679

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Explainable AI–Driven Comparative Analysis of Machine Learning Models for Predicting HIV Viral Nonsuppression in Ugandan Patients: Retrospective Cross-Sectional Study

Francis Ngema, Albert Whata, Micheal O Olusanya, Siyabonga Mhlongo

JMIR AI 2026 (Jan 06); 5:e68196

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AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Scoping Review

Joar von Bahr, Antti Suutala, Vinod Diwan, Andreas Mårtensson, Johan Lundin, Nina Linder

J Med Internet Res 2026 (Jan 05); 28:e78500

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Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study

Xiyao Yang, Juan Ren, Dan Su, Manzhen Bao, Miao Zhang, Xiaoming Chen, Yanhua Li, Zonggui Wang, Xiujing Dai, Zengzeng Wei, Shuiyu Zhang, Yuxin Zhang, Juan Li, Xiaolin Li, Junjin Xu, Nan Mo

JMIR Aging 2026 (Jan 05); 9:e80602

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Self-Management Combined With Digital Health Interventions to Improve Dietary Behavior, Exercise Behavior, Stress Management Behavior, and Blood Pressure Among Thais With Uncontrolled Hypertension: Protocol for an Explanatory Sequential Study

Saowaluck Sukpattanasrikul, Naruemol Singha-Dong, Yajai Sitthimongkol

JMIR Res Protoc 2026 (Jan 02); 15:e81148

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Identifying Patient Sentiment in Atopic Dermatitis Treatment: Large Language Model Approach

Jack Alexander Cummins, JiaDe Yu

JMIR Form Res 2026 (Jan 02); 10:e78054

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Large Language Model–Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review

Dongliang Li, Syaheerah Lebai Lutfi

JMIR Med Inform 2026 (Jan 02); 14:e79039

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Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Hwayoung Cho, Jiyoun Song, Hannah Cho, Lin Li, Renjie Liang, Railton Miranda, Qianqian Song, Jiang Bian

JMIR Aging 2025 (Dec 31); 8:e80433

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