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.

Afiliación

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 en En | MEDLINE | ID: mdl-39141908

Asunto(s)

Comprensión; Hidradenitis Supurativa; Humanos; Educación del Paciente como Asunto

Palabras clave

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

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hidradenitis Supurativa / Comprensión Límite: Humans Idioma: En Revista: JMIR Dermatol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Canadá

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google