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

📅 February 9, 2023 👤 Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla et al. 📖 PLOS Digital Health 📊 3,534 citations

🤖 Plain-English Summary

We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations.

🔑 Key Findings

  • ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement.
  • Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations.
  • These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Feb 09, 2023
Journal PLOS Digital Health
Authors Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon
DOI 10.1371/journal.pdig.0000198
Citations 3,534
Source OpenAlex

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