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.
Machine Learning in Medicine.New Eng- land Journal of Medicine, 380(14):1347–1358, April 2019
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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.