Implementing GPT‐4 Learning Models in Dermatology: An Assessment of Medical Quality and Utility

Overall, GPT-4 models produced dermatological content with few harmful recommendations. However, GPT-4-generated content performed poorly on the DISCERN instrument, and validation of LLM-generated responses remains challenging. Results suggest LLM parameters and query structures may be optimizable for dermatologic applications. If implemented alongside the professional judgement of certified dermatologists, future LLMs may serve as time-saving dermatologic tools, enhancing patient care.

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Publication Details

Journal
Skin Research and Technology
Published
2026-02-01
DOI
https://doi.org/10.1111/srt.70331
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementing GPT‐4 Learning Models in Dermatology: An Assessment of Medical Quality and Utility

Thanh‐Nga T. Tran, Aryan Naik, Peter Vien
Skin Research and Technology
Artificial Intelligence in Healthcare and Education
article

Implementing GPT‐4 Learning Models in Dermatology: An Assessment of Medical Quality and Utility

Thanh‐Nga T. Tran, Aryan Naik, Peter Vien
article en

Abstract

Overall, GPT-4 models produced dermatological content with few harmful recommendations. However, GPT-4-generated content performed poorly on the DISCERN instrument, and validation of LLM-generated responses remains challenging. Results suggest LLM parameters and query structures may be optimizable for dermatologic applications. If implemented alongside the professional judgement of certified dermatologists, future LLMs may serve as time-saving dermatologic tools, enhancing patient care.

Skin Research and TechnologyVol. 32(2)
University of Vermont (US), Massachusetts General Hospital (US)
Quality Education
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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