BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study

著者: Andrea Cozzi, Katja Pinker, Andri Hidber, Tianyu Zhang, Luca Bonomo, Roberto Lo Gullo, Blake Christianson, Marco Curti, Stefania Rizzo, Filippo Del Grande, Ritse M. Mann, Simone Schiaffino - Radiology 2024 被引用: 85

Based on breast imaging reports written in three languages, GPT-3.5, GPT-4, and Google Bard achieved moderate agreement with human reader–assigned Breast Imaging Reporting and Data System categories but also yielded a high percentage of discordant category assignments that would negatively impact clinical management.