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Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis.

Aneri Bhargav Patel^1,2, William Driscoll³, Conan H Lee²

¹Department of Dermatology, University of California, Irvine, 850 Health Sciences Road, 2nd floor, Irvine, CA, 92617, United States, 1 9498240606.

JMIR Dermatology

|December 4, 2025

Summary

This summary is machine-generated.

DermGPT enhances clarity in dermatology answers, while ChatGPT offers stronger source citations for reliable information. Both AI tools show potential for improving medical query responses.

Keywords:

ChatGPT DermGPT LLM artificial intelligence dermatology education large language model

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Area of Science:

Artificial intelligence in medicine
Dermatology informatics

Background:

The integration of artificial intelligence (AI) into medical fields like dermatology is rapidly advancing.
Large language models (LLMs) offer potential for enhancing patient education and clinical decision support.

Purpose of the Study:

To compare the performance of two leading AI chatbots, DermGPT and ChatGPT, in responding to dermatology-related queries.
To evaluate the clarity, conciseness, and evidence-based accuracy of AI-generated responses.

Main Methods:

Dermatology-specific queries were posed to both DermGPT and ChatGPT.
Responses were analyzed for clarity, conciseness, and the presence and quality of source citations.

Main Results:

DermGPT excelled in providing clear and concise answers to dermatology questions.
ChatGPT demonstrated superior performance in citing robust sources, thereby increasing the trustworthiness of its evidence-based responses.

Conclusions:

DermGPT shows promise for improving the directness and understandability of dermatological information.
ChatGPT's strength in citation supports its utility for evidence-based medical inquiries, fostering greater user confidence.