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Status: Unchecked ×Keyword: medical licensing examinations ×Clear all

4 claims from 2 papers

1. Medicine › Artificial Intelligence in Healthcare and Education

   Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

   Kung, Cheatham, ChatGPT et al. · PLOS Digital Health · 2023

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   1. Unchecked“ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement.”

2. Medicine › Artificial Intelligence in Healthcare and Education

   Large Language Models Encode Clinical Knowledge

   Singhal, Azizi, Tao et al. · arXiv (Cornell University) · 2022

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   1. Unchecked“Using a combination of prompting strategies, Flan-PaLM achieves state-of-the-art accuracy on every MultiMedQA multiple-choice dataset (MedQA, MedMCQA, PubMedQA, MMLU clinical topics), including 67.6% accuracy on MedQA (US Medical License Exam questions), sur…
   2. Unchecked“The resulting model, Med-PaLM, performs encouragingly, but remains inferior to clinicians.”
   3. Unchecked“We show that comprehension, recall of knowledge, and medical reasoning improve with model scale and instruction prompt tuning, suggesting the potential utility of LLMs in medicine.”