Performance and Errors of ChatGPT-4o on the Japanese Medical Licensing Examination: Solving All Questions Including Images with Over 90% Accuracy (Preprint)
Yuki Miyazaki(Osaka Hospital), Manabu Ikeda(The University of Osaka), Shun Takahashi(Keio University), Atsuya Hirashima(Psychiatric Medical Center), Yuta Nakagawa(The University of Osaka), Mitsuhiro Eto(The University of Osaka), Hisaki Omori(Kohnan Hospital), Masahiro Hata(Keio University)
Cited by 5
Related Papers
Educational gradients in the use of electronic cigarettes and heat-not-burn tobacco products in Japan
|PLoS ONE|2018|33
A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study
|Neural Networks|2023|25
Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions
|JMIR Medical Education|2024|14
Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography
|Neuropsychobiology|2023|13
Differential age-dependent development of inter-area brain connectivity in term and preterm neonates
|Pediatric Research|2022|12