Kyorin University

Use of artificial intelligence large language models as a clinical tool in rehabilitation medicine: a comparative test case

Liang Zhang, Syoichi Tashiro, Masahiko Mukaino et al.

2023 · 40 Zit.

Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews

Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki et al.

2024 · 35 Zit.

Large Language Model Demonstrates Human-Comparable Sensitivity in Initial Screening of Systematic Reviews: A Semi-Automated Strategy Using GPT-3.5

Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki et al.

2023 · 7 Zit.

Data Generation With Filtered <i>β</i>-VAE for the Preoperative Prediction of Adverse Events

Yuki Yamasaki, Chiaki Doi, Shiori Kitagawa et al.

2023 · 3 Zit.

Large Language Models for the National Radiological Technologist Licensure Examination in Japan: Cross-Sectional Comparative Benchmarking and Evaluation of Model-Generated Items Study

Toshimune Ito, T. Ishibashi, Tatsuya Hayashi et al.

2025 · 1 Zit.

Can interactive artificial intelligence be used for patient explanations of nuclear medicine examinations in Japanese?

Norikazu Matsutomo, Mitsuha Fukami, Tomoaki Yamamoto

2025 · 0 Zit.

Multi-ethnic evaluation of fully automatic planning assist system for cardiac magnetic resonance imaging

Shigehide Kuhara, Shuhei Nitta, Taichiro Shiodera et al.

2014 · 0 Zit.

Correction: Web-based machine learning application for ambulation prognosis in the rehabilitation phase of spinal cord injury: a retrospective multicenter cohort study

Kyohei Matsuda, Junji Nakano, Osamu Uemura

2026 · 0 Zit.

PCN234 DEVELOPMENT AND VALIDATION STUDY OF ARTIFICIAL INTELLIGENCE SUPPORTING SYSTEMATIC LITERATURE REVIEW FOR CONDUCTING COST-EFFECTIVENESS ANALYSIS

Masao Ooishi, Mie Azuma, Hiroki Kitabayashi et al.

2019 · 0 Zit.