Ryo Kurokawa

Diagnostic performances of GPT-4o, Claude 3 Opus, and Gemini 1.5 Pro in “Diagnosis Please” cases

2024 · 73 Zit. · Japanese Journal of Radiology

Diagnostic performances of Claude 3 Opus and Claude 3.5 Sonnet from patient history and key images in Radiology’s “Diagnosis Please” cases

2024 · 72 Zit. · Japanese Journal of Radiology

Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases

2024 · 20 Zit. · Japanese Journal of Radiology

Evaluating the Role of GPT-4 and GPT-4o in the Detectability of Chest Radiography Reports Requiring Further Assessment

2024 · 5 Zit. · Cureus

Structured Clinical Reasoning Prompt Enhances LLM’s Diagnostic Capabilities in Diagnosis Please Quiz Cases

2024 · 4 Zit.

Influence of Prior Probability Information on Large Language Model Performance in Radiological Diagnosis

2024 · 2 Zit.

"This Is a Quiz” Premise Input: A Key to Unlocking Higher Diagnostic Accuracy in Large Language Models

2024 · 2 Zit. · Cureus

Artificial superintelligence alignment in healthcare

2025 · 0 Zit. · Japanese Journal of Radiology

Beyond Reporting: Claude 3.7 Sonnet Accurately Classifies T Stage and Uncovers Omitted Anatomic Invasion in Nasopharyngeal Carcinoma Magnetic Resonance Imaging (MRI) Reports

2025 · 0 Zit. · Cureus

Large Language Model-Based Automated Tumor, Node, Metastasis Staging and Resectability Assessment for Pancreatic Cancer in Radiology Reports With Detection of Incomplete Documentation

2025 · 0 Zit. · Cureus