Shouhei Hanaoka

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

2024 · 56 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

Data set terminology of deep learning in medicine: a historical review and recommendation

2024 · 22 Zit. · Japanese Journal of Radiology

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

2023 · 16 Zit. · medRxiv

KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records

2020 · 11 Zit.

Sensitivity-Aware Differential Privacy for Federated Medical Imaging

2025 · 10 Zit. · Sensors

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

NTCIR-17 MedNLP-SC Radiology Report Subtask Overview: Dataset and Solutions for Automated Lung Cancer Staging

2023 · 1 Zit. · Institutional Repositories DataBase (IRDB)

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

Performance of an artificial intelligence–based software in detecting pneumothorax on supine chest radiographs: a retrospective study

2026 · 0 Zit. · Emergency Radiology

Building a web-based CAD server for clinical use, evaluation, and incremental learning. Implementation of analysis function based on execution result and clinical feedback

2010 · 0 Zit. · Medical imaging technology

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

2026 · 0 Zit. · arXiv (Cornell University)