Benchmarking AI's ability to answer medical questions nresearchnews nature
, Lay user assessment of answers, addressing relevance to the intent of the query and helpfulness . Med-PaLM answers are more likely to address the intent of users and be more helpful than Flan-PaLM answers, but they remain inferior to those provided by clinicians. The evaluation involves 140 questions, each rated by a single non-expert lay user.
Again, the clinician-generated answers were judged to be superior . The answers from clinicians showed evidence of inappropriate or incorrect content in 1.4% of cases, compared with 16.1% for Flan-PaLM. Instruction prompt tuning seemed to degrade performance, with 18.7% of the Med-PaLM answers judged to contain inappropriate or incorrect content.
Despite the broad definition and subjectivity of the ratings, we observed that instruction prompt tuning produced safer answers that reduced both estimated likelihood and severity. Whereas 29.7% of the Flan-PaLM responses were judged as potentially leading to harm, this number fell to 5.9% for Med-PaLM, similar to the result for clinician-generated answers .
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