aceTransparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publication
Author summary Artificial intelligence is increasingly used in healthcare research, from developing clinical tools to helping prepare scientific papers. At the same time, many guidelines and policies have been created to tell researchers, journals, and reviewers how this work should be reported and managed. We reviewed this rapidly growing landscape to understand what guidance exists, how it has changed over time, and where important gaps remain. We identified 100 relevant publications, including 69 guidelines,…
Guidance for AI in healthcare research and publishing remains fragmented, varies in authority and development, and often covers disclosure at publication rather than responsibilities across an AI system's life.
The source states that the guidance landscape is fragmented, with documents varying in development and authority and often focusing on disclosure at publication rather than ongoing responsibilities.
Evidence
- JournalismPLOS (Public Library of Science)2026-10-20
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Truvace Impact Record TRV-2026-2026, v1: “Transparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publication.” Truvace, 2026-10-20. /record/TRV-2026-2026 (accessed at citation time). sha256 3def127895a9be90…
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