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Accepted for/Published in: JMIR Dermatology

Date Submitted: Oct 14, 2024
Date Accepted: Feb 17, 2025

The final, peer-reviewed published version of this preprint can be found here:

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Sattler S, Chetla N, Chen M, Hage TR, Chang J, Guo WY, Hugh J

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

JMIR Dermatol 2025;8:e67551

DOI: 10.2196/67551

PMID: 40117499

PMCID: 11952272

Evaluating the diagnostic accuracy of GPT-4o and GPT-4 Turbo in identifying melanoma: A comparative study

  • Samantha Sattler; 
  • Nitin Chetla; 
  • Matthew Chen; 
  • Tamer Rajai Hage; 
  • Joseph Chang; 
  • William Young Guo; 
  • Jeremy Hugh

ABSTRACT

ChatGPT is increasing in use in healthcare. Fields like dermatology and radiology could benefit from use of ChatGPT to help clinicians diagnose skin lesions. This research letter aims to find the accuracy of ChatGPT in diagnosing melanoma based on images. Our analysis indicates that ChatGPT cannot be used reliably to diagnose melanoma and improvements are needed in the program to reach this stage, but it can still help clinicians.


 Citation

Please cite as:

Sattler S, Chetla N, Chen M, Hage TR, Chang J, Guo WY, Hugh J

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

JMIR Dermatol 2025;8:e67551

DOI: 10.2196/67551

PMID: 40117499

PMCID: 11952272

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