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ChatGPT is a chatbot developed by OpenAI, an artificial intelligence research laboratory, that is trained on massive-scale internet text data to understand a broad range of language styles and topics. As a mature, conversational chatbot, ChatGPT can respond to follow-up questions and produce coherent primary texts based on the user's request. We explore the opportunities and risks of integrating chatbots into dermatologic patient care and research while presenting ChatGPT's response to the same question.
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http://dx.doi.org/10.5070/D329662990 | DOI Listing |
Aesthetic Plast Surg
August 2025
Woffles Wu Aesthetic Surgery and Laser Centre, 1, Orchard Boulevard Suite 09-02, Camden Medical Centre, Singapore, Singapore.
Introduction: The study investigates the evolution of glabellar wrinkle patterns over the past century, examining their role as indicators of biological ageing, environmental exposure, and societal shifts. Beyond aesthetic concerns, these wrinkles reflect changes in human behaviour, technological advancements, and environmental conditions.
Methods: A dataset of 12,400 facial images from 1900 to 2024, featuring individuals aged 25-65, was analysed.
JMIR Dermatol
August 2025
Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, 3600 Spruce Street, 2 Maloney Building, Philadelphia, 19146, United States, 1 2156626597, 1 2153495615.
Our study demonstrated the ability of ChatGPT-4 to answer 77.5% of all sampled text-based board review type questions correctly. Questions requiring the recall of factual information were answered correctly most often, with slight decreases in correctness as higher-order thinking requirements increased.
View Article and Find Full Text PDFCutis
June 2025
Morsani College of Medicine, University of South Florida, Tampa. Emily Coughlin is from the Department of Medical Education and Drs. Lipman, Kucharik, and Albers are from the Department of Dermatology and Cutaneous Surgery.
Online resources that are convenient and affordable play a crucial role in mitigating health inequality and improving patient access to health care information. In this study, we aimed to assess and compare the quality of patient guidance on dermatologic care generated by ChatGPT vs Reddit. Dermatologists should be aware of the potential risks associated with patients obtaining medical advice from online sources and be prepared to caution and educate patients on how to use them effectively.
View Article and Find Full Text PDFJAAD Int
August 2025
Department of Dermatology, Johns Hopkins University, Baltimore, Maryland.
J Eur Acad Dermatol Venereol
July 2025
Department of Dermatology, State University of New York, Downstate Health Sciences University, Brooklyn, New York, USA.
Background: Generative AI models are increasingly used in dermatology, yet biases in training datasets may reduce diagnostic accuracy and perpetuate ethnic health disparities.
Objectives: To evaluate two key AI outputs: (1) skin tone representation and (2) diagnostic accuracy of generated dermatologic conditions.
Methods: Using the standard prompt 'Generate a photo of a person with [skin condition],' this cross-sectional study investigated skin tone diversity and accuracy of four leading AI models-Adobe Firefly, ChatGPT-4o, Midjourney and Stable Diffusion-across the 20 most common skin conditions.