Artificial Intelligence

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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Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study

Xiaokang Shi, Zewu Jiang, Li Xiong, Ka-Chun Siu, Zhen Chen

JMIR Hum Factors 2026 (Jan 08); 13:e81652

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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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Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models

Qiang Fu, Wei Ji, Yu-Ping Fan, Jian Yao, Ming-Xia Song, Qiao-Jing Yan

JMIR Bioinform Biotech 2026 (Jan 08); 7:e80539

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Automated Safety Plan Scoring in Outpatient Mental Health Settings Using Large Language Models: Exploratory Study

Hayoung K Donnelly, Gregory K Brown, Kelly L Green, Ugurcan Vurgun, Sy Hwang, Emily Schriver, Michael Steinberg, Megan E Reilly, Haitisha Mehta, Christa Labouliere, Maria A Oquendo, David Mandell, Danielle L Mowery

JMIR Ment Health 2026 (Jan 08); 13:e79010

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Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19

Samira Malek, Christopher Griffin, Robert D Fraleigh, Robert Lennon, Vishal Monga, Lijiang Shen

J Med Internet Res 2026 (Jan 08); 28:e75500

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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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Assessing the Quality of AI Responses to Patient Concerns About Axial Spondyloarthritis: Delphi-Based Evaluation

Jiaxin Bai, Xiaojian Ji, Jiali Yu, Yiwen Wang, Yufei Guo, Chao Xue, Wenrui Zhang, Jian Zhu

JMIR AI 2026 (Jan 07); 5:e79153

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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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Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study

Marvin N Carlisle, William A Pace, Andrew W Liu, Robert Krumm, Janet E Cowan, Peter R Carroll, Matthew R Cooperberg, Anobel Y Odisho

JMIR Bioinform Biotech 2026 (Jan 06); 7:e70708

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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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AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors

Chunqing Li, Sian Hsiang-Te Tsuei, Hongbin Wu

JMIR Med Educ 2026 (Jan 06); 12:e80604

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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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Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial

Mirai So, Yoichi Sekizawa, Sora Hashimoto, Masami Kashimura, Hajime Yamakage, Norio Watanabe

J Med Internet Res 2026 (Jan 05); 28:e76902

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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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