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Almanac - Retrieval-Augmented Language Models for Clinical Medicine.

Mohamad ChahrourRohan ShadAkash ChaurasiaAlex R DalalJennifer L KimMichael MoorRobyn FongCurran PhillipsKevin M AlexanderEuan A AshleyJack H BoydKathleen BoydSara Leingang WileyCurtis P LanglotzRita LeeJoanna M P MeliaJoanna NelsonKarim SallamStacey TullisMelissa Ann VogelsongJohn Patrick CunninghamWilliam Hiesinger
Published in: NEJM AI (2024)
Our results show the potential for LLMs with access to domain-specific corpora to be effective in clinical decision-making. The findings also underscore the importance of carefully testing LLMs before deployment to mitigate their shortcomings. (Funded by the National Institutes of Health, National Heart, Lung, and Blood Institute.).
Keyphrases
  • decision making
  • quality improvement
  • healthcare
  • public health
  • mental health
  • heart failure
  • autism spectrum disorder
  • risk assessment
  • health promotion