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How Appropriate Are Recommendations of Online Chat-Based Artificial Intelligence (ChatGPT) to Common Questions on Ventral Hernia Repair?
Lima, Diego Laurentino; Nogueira, Raquel; Liu, Jack; Claus, Christiano; Malcher, Flavio; Sreeramoju, Prashanth; Cavazzola, Leandro Totti.
Afiliación
  • Lima DL; Department of Surgery, Montefiore Medical Center, Bronx, New York, USA.
  • Nogueira R; Department of Surgery, Montefiore Medical Center, Bronx, New York, USA.
  • Liu J; Department of Surgery, Montefiore Medical Center, Bronx, New York, USA.
  • Claus C; Minimally Invasive Surgery Department, Nossa Senhora das Graças Hospital, Curitiba, Brazil.
  • Malcher F; Division of General Surgery, NYU Langone Health, New York, New York, USA.
  • Sreeramoju P; Department of Surgery, Montefiore Medical Center, Bronx, New York, USA.
  • Cavazzola LT; Department of Surgery, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
J Laparoendosc Adv Surg Tech A ; 34(4): 365-367, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38354285
ABSTRACT
ChatGPT is a conversational AI model developed by OpenAI to generate human-like text based on the input it receives. ChatGPT has become increasingly popular, and the general public may use this tool to ask questions about different medical conditions. There is a lack of data to demonstrate ChatGPT is able to provide reliable information on medical conditions. The aim of our study is to assess the accuracy and appropriateness of ChatGPT answers to questions on ventral hernia management.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Hernia Ventral Límite: Humans Idioma: En Revista: J Laparoendosc Adv Surg Tech A Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Hernia Ventral Límite: Humans Idioma: En Revista: J Laparoendosc Adv Surg Tech A Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos