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Exploring the Performance of ChatGPT Versions 3.5, 4, and 4 With Vision in the Chilean Medical Licensing Examination: Observational Study.

Marcos RojasMarcelo RojasValentina BurgessJavier Toro-PérezShima Salehi
Published in: JMIR medical education (2024)
This study reveals ChatGPT's ability to pass the EUNACOM, with distinct proficiencies across versions 3.5, 4, and 4V. Notably, advancements in artificial intelligence (AI) have not significantly led to enhancements in performance on image-based questions. The variations in proficiency across medical fields suggest the need for more nuanced AI training. Additionally, the study underscores the importance of exploring innovative approaches to using AI to augment human cognition and enhance the learning process. Such advancements have the potential to significantly influence medical education, fostering not only knowledge acquisition but also the development of critical thinking and problem-solving skills among health care professionals.
Keyphrases
  • artificial intelligence
  • healthcare
  • deep learning
  • machine learning
  • big data
  • medical education
  • white matter
  • climate change
  • risk assessment
  • human health
  • medical students
  • pluripotent stem cells