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ChatGPT for Dermatology Students: Studying How Input Format Affects Reliability.

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ChatGPT-4o demonstrated higher diagnostic accuracy in dermatology case studies using the Free Answer format compared to Multiple Choice. Patient data did not enhance performance, suggesting AI should support, not replace, student critical thinking in medical education.

Keywords:
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Area of Science:

  • Dermatology
  • Medical Education
  • Artificial Intelligence

Background:

  • The increasing integration of Generative Artificial Intelligence (AI) tools like ChatGPT into educational settings necessitates an evaluation of their efficacy.
  • Dermatological education presents complex diagnostic challenges where AI could potentially assist.
  • Understanding the optimal format and data requirements for AI diagnostic tools is crucial for effective implementation.

Purpose of the Study:

  • To assess the diagnostic accuracy of ChatGPT-4o in dermatological education case studies.
  • To compare the performance of ChatGPT-4o in Free Answer versus Multiple Choice question formats.
  • To determine the impact of including patient data alongside images on diagnostic accuracy.

Main Methods:

  • A cohort of dermatological education case studies was utilized.
  • ChatGPT-4o was prompted using both Free Answer and Multiple Choice question formats.
  • Input data variations included image-only versus image with patient data.
  • Diagnostic accuracy was evaluated for each condition.

Main Results:

  • ChatGPT-4o exhibited superior diagnostic accuracy in the Free Answer format compared to the Multiple Choice format.
  • The inclusion of additional patient data with input images did not significantly improve diagnostic performance.
  • The AI tool showed potential as a supplementary resource rather than a standalone diagnostic solution.

Conclusions:

  • ChatGPT-4o can function as a valuable second-opinion tool in dermatological education.
  • The Free Answer format appears more effective for AI-assisted dermatological diagnosis in this context.
  • AI implementation in medical education requires careful consideration to support, not supplant, student critical thinking and diagnostic skills.
  • Ethical guidelines and proper regulation are essential for the responsible use of Generative AI in medical training.