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DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and early-stage clinical evaluation is needed.

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Correspondence to Baptiste Vasey.

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Competing interests

X.L. is an industry fellow (observer) with Hardian Health. D.A.C. declares academic grants from GlaxoSmithKline and personal fees from Oxford University Innovation, Biobeats and Sensyne Health, outside the context of this work. B.F.G. is CEO and Founder of and declares consulting fees from NLC Ventures Netherlands. L.M. is director and owner of Morgan Human Systems. P.W. reports grants from National Institute for Health Research, grants from Wellcome, grants from Sensyne Health, and personal fees from Sensyne Health, outside the submitted work.

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The DECIDE-AI Steering Group. DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence. Nat Med 27, 186–187 (2021).

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