A systematic study of 2800 AI responses shows automated metrics using clinician references closely match human ratings for answering hospitalization questions, using clinical notes, and applying medical knowledge.
Optimizing Statistical Machine Translation for Text Simplification.Transactions of the Association for Computational Linguistics, 4:401–415
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Automated Evaluation can Distinguish the Good and Bad AI Responses to Patient Questions about Hospitalization
A systematic study of 2800 AI responses shows automated metrics using clinician references closely match human ratings for answering hospitalization questions, using clinical notes, and applying medical knowledge.