St. Marianna University School of Medicine

How will “democratization of artificial intelligence” change the future of radiologists?

Yasuyuki Kobayashi, Maki Ishibashi, Hitomi Kobayashi

2018 · 38 Zit.

Performance of ChatGPT and Bard in self-assessment questions for nephrology board renewal

Ryunosuke Noda, Yuto Izaki, Fumiya Kitano et al.

2024 · 34 Zit.

Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study

Tatsuyoshi Ikenoue, Yuki Kataoka, Yoshinori Matsuoka et al.

2021 · 11 Zit.

GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions

Ryunosuke Noda, Kenichiro Tanabe, Daisuke Ichikawa et al.

2025 · 9 Zit.

Performance of ChatGPT and Bard in Self-Assessment Questions for Nephrology Board Renewal

Ryunosuke Noda, Yuto Izaki, Fumiya Kitano et al.

2023 · 7 Zit.

Developing competencies relating to information science and technology in Japanese undergraduate medical education

Takeshi Onoue, Yoshikazu Asada, Rintarō Imafuku et al.

2024 · 5 Zit.

Development of Machine-learning Model to Predict Anticoagulant Use and Type in Geriatric Traumatic Brain Injury Using Coagulation Parameters

Gaku Fujiwara, Yohei Okada, Eiichi Suehiro et al.

2024 · 4 Zit.

Development and external validation of a deep learning-based computed tomography classification system for COVID-19

Yuki Kataoka, Tomohisa Baba, Tatsuyoshi Ikenoue et al.

2022 · 3 Zit.

Object Detection Model Utilizing Deep Learning to Identify Retained Surgical Gauze in the Body on Postoperative Radiography: Phantom Study

Takao Tanuma, Tatsuaki Kobayashi, Eichi Takaya et al.

2021 · 2 Zit.

Artificial Intelligence and the Internet of Things in the Neurosurgical Operating Theater

Mohammed Maan Al‐Salihi, Maryam Sabah Al-Jebur, Tetsuya Goto

2022 · 2 Zit.

ChatGPT's Performance in Supporting Physician Decision-Making in Nephrology Multiple-Choice Questions

Ryunosuke Noda, Kenichiro Tanabe, Daisuke Ichikawa et al.

2024 · 1 Zit.

Performance of o1 pro and GPT-4 in self-assessment questions for nephrology board renewal

Ryunosuke Noda, Chiaki Yuasa, Fumiya Kitano et al.

2025 · 1 Zit.

Performance of o1 pro and GPT-4 in Self-Assessment Questions for Nephrology Board Renewal

Ryunosuke Noda, Chiaki Yuasa, Fumiya Kitano et al.

2025 · 1 Zit.

Performance of Next-Generation Reasoning Models on Self-Assessment Questions for Nephrology Board Recertification

Mamoru Masaki, Ryunosuke Noda, Fumiya Kitano et al.

2025 · 0 Zit.

724: AI-BASED VISENSIA INDEX VS SMEWS FOR MORTALITY PREDICTION IN 13 HIGH-PERFORMING JAPANESE HOSPITALS

Toru Yoshida, Tetsuya Kimura, Takaki Naito et al.

2026 · 0 Zit.