The Oracle Problem: the invisible bottleneck to AI in medicine
a16z Newsletter · rss · 2026-08-24
A collaboration between a16z and Protege identifies the 'Oracle Problem' as the main barrier to AI adoption in healthcare. Evaluating medical AI is hard because clinical decisions are subjective, data is siloed, and benchmarks often become marketing tools. The article highlights that physician 'taste' accounts for significant variance in treatment choices, meaning a model can disagree with a recorded action and still be clinically correct. True validation requires long-term patient outcome tracking, which is much harder than static benchmarking.
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