thehealthtransformation
.foundation
Joaquim Cardoso MSc
February 2, 2024
This summary is based on the article “OpenEvidence AI becomes the first AI in history to score above 90% on the United States Medical Licensing Examination (USMLE)”, published by Open Evidence on July 14, 2023.
What is the message?
OpenEvidence AI, a large language model, achieves a historic milestone by becoming the first AI to score above 90% on the United States Medical Licensing Examination (USMLE).
This breakthrough positions AI, particularly OpenEvidence, as a transformative force in healthcare, surpassing expert-level performance.
ONE PAGE SUMMARY
What are the key points?
Milestone Achievement: OpenEvidence AI scores over 90% on the USMLE, showcasing its advanced understanding and application of complex medical concepts.
Performance Comparison: OpenEvidence outperforms other models, making 77% fewer errors than ChatGPT, 24% fewer than GPT-4, and 31% fewer than Google’s Med-PaLM 2.
USMLE Structure: The USMLE comprises three steps, testing various aspects of medical knowledge and skills at different stages of a physician’s career.
Experimental Details: The study uses the official USMLE sample exam from 2022 for evaluation, ensuring authenticity and reliability in performance assessment.
Comparisons to Self-Assessment: OpenEvidence’s performance is benchmarked against self-assessment exams, emphasizing the rigor of the official USMLE sample exam.
What are the key statistics?
OpenEvidence AI achieves a score above 90% on the USMLE.
It makes 77% fewer errors than ChatGPT, 24% fewer errors than GPT-4, and 31% fewer errors than Google’s Med-PaLM 2.
What are the key examples?
A sample question from the USMLE Step 3 exam illustrates OpenEvidence’s correct answer (C) against incorrect answers from other models.
Performance per Step exam demonstrates OpenEvidence’s consistent superiority over ChatGPT.
Conclusion
The successful performance of OpenEvidence AI on the USMLE underscores the remarkable progress of AI in comprehending and mastering intricate medical scenarios.
As AI continues to evolve, its potential to revolutionize healthcare education and decision-making becomes increasingly evident.
The study emphasizes the importance of using authentic assessments like the official USMLE sample exam for accurate evaluation and highlights OpenEvidence’s unparalleled capabilities in the medical domain.
To read the original publication, click here.
