Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris

Nehal Lakdawala; Leelakrishna Channa; Christian Gronbeck; Nikita Lakdawala; Gillian Weston; Brett Sloan; Hao Feng

doi:10.2196/50409

Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris

JMIR Dermatol. 2023 Nov 14:6:e50409. doi: 10.2196/50409.

Authors

Nehal Lakdawala¹, Leelakrishna Channa¹, Christian Gronbeck², Nikita Lakdawala³, Gillian Weston², Brett Sloan², Hao Feng²

Affiliations

¹ University of Connecticut School of Medicine, Farmington, CT, United States.
² Department of Dermatology, University of Connecticut Health Center, Farmington, CT, United States.
³ The Ronald O. Perelman Department of Dermatology, New York University, New York, NY, United States.

PMID: 37962920
PMCID: PMC10685272
DOI: 10.2196/50409

No abstract available

Keywords: ChatGPT; NLP; acne; acne vulgaris; advise; answer; answers; artificial intelligence; atopic dermatitis; automated; chatbot; chatbots; clinical guidance; computer generated; conversational agent; conversational agents; counsel; counseling; dermatitis; dermatologic; dermatological; dermatology; guidance; natural language processing; recommendation; recommendations; response; responses; skin.