%0 Journal Article
%@ 2562-0959
%I JMIR Publications
%V 8
%N 
%P e67299
%T Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma
%A Chetla,Nitin
%A Chen,Matthew
%A Chang,Joseph
%A Smith,Aaron
%A Hage,Tamer Rajai
%A Patel,Romil
%A Gardner,Alana
%A Bryer,Bridget
%K chatbot
%K ChatGPT
%K ChatGPT-4
%K squamous cell carcinoma
%K basal cell carcinoma
%K skin cancer
%K skin cancer detection
%K dermatoscopic image analysis
%K skin lesion differentiation
%K dermatologist
%K machine learning
%K ML
%K artificial intelligence
%K AI
%K AI in dermatology
%K algorithm
%K model
%K analytics
%K diagnostic accuracy
%D 2025
%7 21.3.2025
%9 
%J JMIR Dermatol
%G English
%X Our study evaluates the diagnostic accuracy of ChatGPT-4o in classifying various skin lesions, highlighting its limitations in distinguishing squamous cell carcinoma from basal cell carcinoma using dermatoscopic images.
%R 10.2196/67299
%U https://derma.jmir.org/2025/1/e67299
%U https://doi.org/10.2196/67299