Health AI benchmarks exhibit a validity gap, with only 42% referencing objective data (mostly wellness wearables), rare complex inputs like labs or imaging, and minimal coverage of vulnerable groups or chronic care.
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Authors propose a four-stage framework to analyze opportunities and risks of generative AI across the health information journey from public sources to clinical care.
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The Validity Gap in Health AI Evaluation: A Cross-Sectional Analysis of Benchmark Composition
Health AI benchmarks exhibit a validity gap, with only 42% referencing objective data (mostly wellness wearables), rare complex inputs like labs or imaging, and minimal coverage of vulnerable groups or chronic care.
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Opportunities and Risks of Generative AI through the Health Information Journey
Authors propose a four-stage framework to analyze opportunities and risks of generative AI across the health information journey from public sources to clinical care.