ChatGPT fails the Polish board certification examination in internal medicine: artificial intelligence still has much to learn.

Suwala, Szymon; Szulc, Paulina; Dudek, Aleksandra; Bialczyk, Aleksandra; Koperska, Kinga; Junik, Roman

Suwala, Szymon; Szulc, Paulina; Dudek, Aleksandra; Bialczyk, Aleksandra; Koperska, Kinga; Junik, Roman.

Afiliación

Suwala S; Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland. lekarz.szymon.suwala@gmail.com
Szulc P; Evidence-Based Medicine Student Scientific Club of Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
Dudek A; Evidence-Based Medicine Student Scientific Club of Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
Bialczyk A; Evidence-Based Medicine Student Scientific Club of Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
Koperska K; Evidence-Based Medicine Student Scientific Club of Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
Junik R; Department of Endocrinology and Diabetology, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland

Pol Arch Intern Med ; 133(11)2023 11 29.

Article en En | MEDLINE | ID: mdl-37987609

Asunto(s)

Inteligencia Artificial; Medicina Interna; Humanos; Polonia

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina Interna Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Pol Arch Intern Med Año: 2023 Tipo del documento: Article País de afiliación: Polonia

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