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This paper is in the following e-collection/theme issue:

Viewpoints on Metascience and Research Integrity (19) Clinical Information and Decision Making (3898) Theoretical Frameworks and Concepts (591) Digital Health Reporting Standards, Quality and Transparency in e-Research (250) Artificial Intelligence (5039)

Published on in Vol 1 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/104222, first published .
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Algorithmic Research Waste in Health Care AI: The VALUE-AI (Valid Question and Purpose, Appropriate Data and Population Fit, Local Workflow and Intended Use, Usability, Safety, and Accountability, Equity and External Validity, and Auditability and Impact Monitoring) Lens for Decision-Useful Evidence

Algorithmic Research Waste in Health Care AI: The VALUE-AI (Valid Question and Purpose, Appropriate Data and Population Fit, Local Workflow and Intended Use, Usability, Safety, and Accountability, Equity and External Validity, and Auditability and Impact Monitoring) Lens for Decision-Useful Evidence

Authors of this article:

Dabeluchi Chiedozie Ngwu1 Author Orcid Image
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