Takeshi Nakaura

Fairness of artificial intelligence in healthcare: review and recommendations

2023 · 456 Zit. · Japanese Journal of Radiology

A primer for understanding radiology articles about machine learning and deep learning

2020 · 102 Zit. · Diagnostic and Interventional Imaging

The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI

2024 · 88 Zit. · Japanese Journal of Radiology

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

2023 · 84 Zit. · Japanese Journal of Radiology

Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future

2024 · 71 Zit. · Diagnostic and Interventional Imaging

Generative AI and large language models in nuclear medicine: current status and future prospects

2024 · 21 Zit. · Annals of Nuclear Medicine

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

2024 · 16 Zit. · Academic Radiology

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

2025 · 8 Zit. · Academic Radiology

Writing medical papers using large-scale language models: a perspective from the Japanese Journal of Radiology

2023 · 8 Zit. · Japanese Journal of 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

Intra-axial primary brain tumor differentiation: comparing large language models on structured MRI reports vs. radiologists on images

2025 · 4 Zit. · European Radiology

Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?

2025 · 3 Zit. · La radiologia medica

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

2025 · 1 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 · 1 Zit. · Japanese Journal of Radiology

Response to “Striking a balance: embracing LLMs while upholding scientific integrity”

2023 · 1 Zit. · Japanese Journal of Radiology