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Medical AI's real-world value questioned amid workflow challenges

An editorial in Nature Medicine questions the real-world value of medical AI, highlighting that strong retrospective validation does not guarantee improved patient care. The authors emphasize that AI systems can falter if their outputs are poorly timed, hard to understand, inconsistently used, or disruptive to existing clinical practices. They call for clearer evidence demonstrating the tangible benefits of AI in healthcare settings. AI

影响 Highlights the need for practical evidence of AI's benefit in healthcare, beyond lab performance.

排序理由 Editorial questioning the practical value of medical AI.

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  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    🖥️ ⚕️ Show us the evidence for the value of medical AI "A system may perform very well in retrospective validation and still fail to improve care if its outputs

    🖥️ ⚕️ Show us the evidence for the value of medical AI "A system may perform very well in retrospective validation and still fail to improve care if its outputs are poorly timed, difficult to interpret, inconsistently acted upon or disruptive to clinical workflows." Show us the e…