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ABSTRACT: Background
The integration of generative artificial intelligence within dermatology presents a new frontier for enhancing diagnostic accuracy and treatment planning.Objective
This research evaluates Generative Pre-trained Transformer-4 Vision's (GPT-4V) performance in accurately diagnosing and generating treatment plans for common dermatological conditions, comparing its assessment of textual versus image data and its performance with multimodal inputs.Methods
A dataset of 102 images representing 9 common dermatological conditions was compiled from dermatlas.org and dermnet.nz. Images were screened by 2 board-certified dermatologists and were excluded if they did not represent a classic presentation of the respective conditions. Fifty-four images were included in th
SUBMITTER: Pillai A
PROVIDER: S-EPMC12686177 | biostudies-literature | 2025 Nov-Dec
REPOSITORIES: biostudies-literature