AI Governance and Policy

A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers

Daniel Bottomly, Bridget Barnes, Kuli Mavuwa, Nikki Lee, Holger R Roth, Chester Chen, Shannon K McWeeney

JMIR AI 2026 (Feb 27); 5:e80022

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Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review

Xudong Wang, Yi Xie, Xiaoliang Chen, Jiaming Yang, Ruiyuan Li, Weihang Gao, Zineng Yan, Hong Zhou, Zhewei Ye

J Med Internet Res 2026 (Feb 19); 28:e79052

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AI-Enabled Customer Relationship Management Platforms for Patient Services in Health Care, Early Lessons From Governance, and Program-Level Outcomes

Anup Kant Gupta

JMIR Med Inform 2026 (Feb 02); 14:e83564

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Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Farhad Abtahi, Fernando Seoane, Ivan Pau, Mario Vega-Barbas

J Med Internet Res 2026 (Jan 23); 28:e87969

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Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Luqman Lawal, Christopher Paton, Mike English, Bruno Holthof, Tabitha Preston

JMIR Res Protoc 2026 (Jan 20); 15:e82486

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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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