Previously submitted to: JMIR Dermatology (no longer under consideration since Nov 13, 2024)
Date Submitted: Oct 31, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
A comparative analysis of melanoma detection: Dermatologist vs. ChatGPT-4o
ABSTRACT
Melanoma is a malignant skin condition. It requires visual recognition and subsequent biopsy to diagnose. ChatGPT is a new technology that has the capability to recognize visual patterns and therefore may be used to aid dermatologists in making the decision to biopsy or not biopsy a lesion. However, the efficacy of this technology in this context is unknown. A dermatologist and ChatGPT's efficacy was compared. The dermatologist was more accurate in recognizing melanoma based off of dermascope images. Therefore, clinicians should practice caution when using this technology in deciding to biopsy a melanoma.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.