Assessment of Artificial Intelligence Performance on the Otolaryngology Residency In‐Service Exam

OBJECTIVES: This study seeks to determine the potential use and reliability of a large language learning model for answering questions in a sub‐specialized area of medicine, specifically practice exam questions in otolaryngology–head and neck surgery and assess its current efficacy for surgical trai...

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Detalles Bibliográficos
Autores principales: Mahajan, Arushi P., Shabet, Christina L., Smith, Joshua, Rudy, Shannon F., Kupfer, Robbi A., Bohm, Lauren A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687376/
https://www.ncbi.nlm.nih.gov/pubmed/38034065
http://dx.doi.org/10.1002/oto2.98

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687376/
https://www.ncbi.nlm.nih.gov/pubmed/38034065
http://dx.doi.org/10.1002/oto2.98

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