Toshinori Hirai

Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reports

2023 · 88 Zit. · Japanese Journal of Radiology

Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023)

2024 · 17 Zit. · Academic Radiology

Evaluating the Performance of Reasoning Large Language Models on Japanese Radiology Board Examination Questions

2025 · 8 Zit. · Academic Radiology

Response to Letter to the Editor from Partha Pratim Ray: ‘Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations’

2024 · 6 Zit. · Japanese Journal of Radiology

Performance of State-of-the-Art Multimodal Large Language Models on an Image-Rich Radiology Board Examination: Comparison to Human Examinees

2025 · 2 Zit. · Academic Radiology

Response to Letter to the Editor from Muhammed Said Beşler et al.: “The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test”

2024 · 2 Zit. · Japanese Journal of Radiology

Performance of multimodal large language models in the Japanese surgical specialist examination

2025 · 1 Zit. · BMC Medical Education

Large Language Model Cost and Performance: A Comprehensive Analysis in the Context of the Japan Radiology Board Examination

2025 · 0 Zit. · Journal of Computer Assisted Tomography