Harvard Study Uncovers Critical Flaws in AI Medical Diagnosis: High Error Rates Highlight Path to Reliable Healthcare
A Harvard Medical School study reveals that AI models have an 80% error rate in initial diagnosis based solely on symptoms. Accuracy heavily depends on complete clinical data, highlighting current limitations in AI-assisted healthcare.
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