Digital Health Meta-Research and Bibliographic Studies

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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Using Large Language Models to Summarize Evidence in Biomedical Articles: Exploratory Comparison Between AI- and Human-Annotated Bibliographies

Michelle Colder Carras, Riaz Qureshi, Kevin Naaman, Faisal Aldayel, Mayank Date, Dahlia AlJuboori, Johannes Thrul

JMIR Form Res 2026 (Feb 12); 10:e69707

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Clinical Evidence Linkage From the American Society of Clinical Oncology 2024 Conference Poster Images Using Generative AI: Exploratory Observational Study

Carlos Areia, Michael Taylor

JMIR AI 2026 (Feb 05); 5:e78148

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The Phases of Living Evidence Synthesis Using AI: Living Evidence Synthesis (Version 1)

Xuping Song, Zhenjie Lian, Rui Wang, Ruixin Li, Zhenzhen Yang, Xufei Luo, Lei Feng, Zhiming Ma, Zhen Pu, Qi Wang, Long Ge, Caihong Li, Yaolong Chen, Kehu Yang, John Lavis

J Med Internet Res 2026 (Jan 27); 28:e76130

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Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis

Adam Marcus, Georgina Lockwood-Taylor, Daniel Rueckert, Paul Bentley

J Med Internet Res 2026 (Jan 20); 28:e70754

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Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review

Javier De La Hoz-M, Karime Montes-Escobar, Carlos Alfredo Salas-Macias, Martha Fors, Santiago J Ballaz

JMIR Cancer 2026 (Jan 16); 12:e78797

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The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis

Naveh Eskinazi, Moti Zwilling, Adilson Marques, Riki Tesler

JMIR AI 2026 (Jan 14); 5:e71248

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Trends in the Implementation of the Cyberchondria Severity Scale: Bibliometric Analysis

Adam C Powell, Cayetana Calderon-Smith

JMIR Ment Health 2026 (Jan 05); 13:e75003

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