@Article{info:doi/10.2196/67299,
author="Chetla, Nitin
and Chen, Matthew
and Chang, Joseph
and Smith, Aaron
and Hage, Tamer Rajai
and Patel, Romil
and Gardner, Alana
and Bryer, Bridget",
title="Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma",
journal="JMIR Dermatol",
year="2025",
month="Mar",
day="21",
volume="8",
pages="e67299",
keywords="chatbot; ChatGPT; ChatGPT-4; squamous cell carcinoma; basal cell carcinoma; skin cancer; skin cancer detection; dermatoscopic image analysis; skin lesion differentiation; dermatologist; machine learning; ML; artificial intelligence; AI; AI in dermatology; algorithm; model; analytics; diagnostic accuracy",
issn="2562-0959",
doi="10.2196/67299",
url="https://derma.jmir.org/2025/1/e67299",
url="https://doi.org/10.2196/67299"
}