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Martina Padovan1, Alessandro Palla2

  • 1Uoc Medicina Preventiva Aziendale, Azienda Usl Toscana Nord Ovest, Livorno.

Recenti Progressi in Medicina
|October 2, 2025
PubMed
Summary

This study evaluated 15 generative artificial intelligence models on occupational medicine questions. The best models achieved over 95% accuracy, showing potential for medical education and practice.

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Medicine
  • Occupational Medicine

Background:

  • Generative artificial intelligence (AI) models are increasingly used in various fields.
  • Assessing AI performance in specialized domains like medicine is crucial.
  • Occupational medicine requires accurate information for education and practice.

Purpose of the Study:

  • To comparatively evaluate the accuracy of fifteen generative AI models.
  • To assess the performance of AI in the specialized field of occupational medicine.
  • To determine the suitability of AI for medical education and practice.

Main Methods:

  • A comparative evaluation of 15 generative AI models was conducted.
  • The models were tested using 397 multiple-choice questions on occupational medicine.
  • Model accuracy was calculated for each AI system.

Main Results:

  • AI model accuracy varied significantly, ranging from 75.06% to 95.72%.
  • Several models demonstrated high accuracy in answering occupational medicine questions.
  • Performance differences indicate varying capabilities among generative AI models.

Conclusions:

  • Generative AI shows promise for supporting occupational medicine education and practice.
  • Rigorous assessment of AI models in specialized medical fields is necessary.
  • Safe and effective integration of AI requires understanding model performance limitations.

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