Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa.

Gawey, Lauren; Dagenet, Caitlyn B; Tran, Khiem A; Park, Sarah; Hsiao, Jennifer L; Shi, Vivian

Gawey, Lauren; Dagenet, Caitlyn B; Tran, Khiem A; Park, Sarah; Hsiao, Jennifer L; Shi, Vivian.

Affiliation

Gawey L; University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Dagenet CB; College of Medicine, The University of Arizona, Tucson, AZ, United States.
Tran KA; Department of Dermatology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Park S; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
Hsiao JL; Department of Dermatology, University of Southern California, Los Angeles, CA, United States.
Shi V; Department of Dermatology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.

JMIR Dermatol ; 7: e55204, 2024 08 14.

Article de En | MEDLINE | ID: mdl-39141908

Sujet(s)
Mots clés

AI; Chat-GPT; ChatGPT; ML; algorithm; algorithms; artificial intelligence; chat-bot; chat-bots; chatbot; chatbots; deep learning; hidradenitis suppurativa; machine learning; patient resources; practical model; practical models; predictive analytics; predictive model; predictive models; predictive system; readability

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Hidrosadénite suppurée / Compréhension Limites: Humans Langue: En Journal: JMIR Dermatol / JMIR dermatology Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Canada

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