Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model

BACKGROUND: Natural language processing models such as ChatGPT can generate text-based content and are poised to become a major information source in medicine and beyond. The accuracy and completeness of ChatGPT for medical queries is not known. METHODS: Thirty-three physicians across 17 specialties...

Descripción completa

Detalles Bibliográficos
Autores principales: Johnson, Douglas, Goodman, Rachel, Patrinely, J, Stone, Cosby, Zimmerman, Eli, Donald, Rebecca, Chang, Sam, Berkowitz, Sean, Finn, Avni, Jahangir, Eiman, Scoville, Elizabeth, Reese, Tyler, Friedman, Debra, Bastarache, Julie, van der Heijden, Yuri, Wright, Jordan, Carter, Nicholas, Alexander, Matthew, Choe, Jennifer, Chastain, Cody, Zic, John, Horst, Sara, Turker, Isik, Agarwal, Rajiv, Osmundson, Evan, Idrees, Kamran, Kieman, Colleen, Padmanabhan, Chandrasekhar, Bailey, Christina, Schlegel, Cameron, Chambless, Lola, Gibson, Mike, Osterman, Travis, Wheless, Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002821/
https://www.ncbi.nlm.nih.gov/pubmed/36909565
http://dx.doi.org/10.21203/rs.3.rs-2566942/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002821/
https://www.ncbi.nlm.nih.gov/pubmed/36909565
http://dx.doi.org/10.21203/rs.3.rs-2566942/v1

Ejemplares similares