Nippon Medical School

Expectations for the Next Generation of Simulated Patients Born from Thoughtful Anticipation of Artificial Intelligence-Equipped Robot

Yoshiaki Hayasaka, Terumichi Fujikura, Masami Kashimura

2018 · 10 Zit.

Performance of a Large Language Model on Japanese Emergency Medicine Board Certification Examinations

Yutaka Igarashi, Kyoichi Nakahara, Tatsuya Norii 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 · 3 Zit.

Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review

Toshiki Maeda, Yuki Sakamoto, Satoshi Hosoki et al.

2024 · 2 Zit.

Effects of temperature settings on information quality of ChatGPT-3.5 responses: A prospective, single-blind, observational cohort study

Akihiko Akamine, Daisuke Hayashi, Atsushi Tomizawa et al.

2024 · 2 Zit.

Abstract TP266: Deep Learning–Based Automatic Assessment of Infarct Volume and ASPECTS on Diffusion-Weighted Imaging in Patients Undergoing Mechanical Thrombectomy

T. Shimoyama, 青木 淳哉, Yuki Sakamoto et al.

2026 · 0 Zit.

Expectations for AI in Diagnostic Imaging

T. Machida

2023 · 0 Zit.

Medical validity and layperson interpretation of emergency visit recommendations by the <scp>GPT</scp> model: A cross‐sectional study

Chie Tanaka, Takahiro Kinoshita, Yohei Okada et al.

2025 · 0 Zit.

Correction to: Definition and Prioritization of Data Elements for Cohort Studies and Clinical Trials on Patients with Unruptured Intracranial Aneurysms: Proposal of a Multidisciplinary Research Group

K. Hackenberg, Ale Algra, Rustam Al‐Shahi Salman et al.

2021 · 0 Zit.