Tomohiro Kikuchi

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study

2024 · 58 Zit. · JMIR Medical Education

GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination

2024 · 48 Zit. · Japanese Journal of Radiology

ChatGPT for automating lung cancer staging: feasibility study on open radiology report dataset

2023 · 16 Zit. · medRxiv

Toward Improved Radiologic Diagnostics: Investigating the Utility and Limitations of GPT-3.5 Turbo and GPT-4 with Quiz Cases

2024 · 7 Zit. · American Journal of Neuroradiology

Capability of GPT-4V(ision) in Japanese National Medical Licensing Examination

2023 · 7 Zit. · medRxiv

Assessing accuracy and legitimacy of multimodal large language models on Japan Diagnostic Radiology Board Examination

2025 · 5 Zit. · Japanese Journal of Radiology

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study (Preprint)

2023 · 0 Zit.

Blinded Radiologist and LLM-Based Evaluation of LLM-Generated Japanese Translations of Chest CT Reports: Comparative Study

2026 · 0 Zit. · ArXiv.org

Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study

2026 · 0 Zit. · Journal of Medical Internet Research

TotalFM: An Organ-Separated Framework for 3D-CT Vision Foundation Models

2026 · 0 Zit. · ArXiv.org

Scoping Review of Regulatory Transparency in AI-based Radiology Software: Analysis of PMDA-approved SaMD Products

2025 · 0 Zit. · medRxiv

Blinded Radiologist and LLM-Based Evaluation of LLM-Generated Japanese Translations of Chest CT Reports: Comparative Study

2026 · 0 Zit. · arXiv (Cornell University)

ModernBERT is more efficient than conventional BERT for chest CT findings classification in Japanese radiology reports

2026 · 0 Zit. · Scientific Reports

Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products

2026 · 0 Zit. · Japanese Journal of Radiology

TotalFM: An Organ-Separated Framework for 3D-CT Vision Foundation Models

2026 · 0 Zit. · arXiv (Cornell University)