Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis

Aneri Bhargav Patel; William Driscoll; Conan H Lee; Cameron Zachary; Nicole M Golbari; Janellen Smith

doi:10.2196/74040

Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis

JMIR Dermatol. 2025 Dec 4:8:e74040. doi: 10.2196/74040.

Authors

Aneri Bhargav Patel^{1

2}, William Driscoll³, Conan H Lee², Cameron Zachary⁴, Nicole M Golbari⁵, Janellen Smith⁴

Affiliations

¹ Department of Dermatology, University of California, Irvine, 850 Health Sciences Road, 2nd floor, Irvine, CA, 92617, United States, 1 9498240606.
² School of Medicine, University of California, Davis, Sacramento, CA, United States.
³ New York Genomics, New York, NY, United States.
⁴ Department of Dermatology, University of California, Irvine, 850 Health Sciences Road, 2nd floor, Irvine, CA, 92617, United States.
⁵ Department of Dermatology, NYU Langone Health, New York, NY, United States.

PMID: 41344880
PMCID: PMC12677980
DOI: 10.2196/74040

Abstract

DermGPT demonstrated strong potential for improving answer clarity and conciseness in dermatology-related queries, while ChatGPT provided more robust source citations, enhancing trust in evidence-based responses.

Keywords: ChatGPT; DermGPT; LLM; artificial intelligence; dermatology; education; large language model.

Publication types

Comparative Study

MeSH terms

Artificial Intelligence*
Dermatology* / methods
Humans