Fujita Health University

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning

Masaki Makino, Ryo Yoshimoto, Masaki Ono et al.

2019 · 242 Zit.

Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam

Noriyuki Kadoya, Kazuhiro Arai, Shohei Tanaka et al.

2024 · 8 Zit.

Development of meta-prompts for Large Language Models to screen titles and abstracts for diagnostic test accuracy reviews

Yuki Kataoka, Ryuhei So, Masahiro Banno et al.

2023 · 8 Zit.

Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Takuya Fukushima, Masae Manabe, Shuntaro Yada et al.

2024 · 6 Zit.

An open competition involving thousands of competitors failed to construct useful abstract classifiers for new diagnostic test accuracy systematic reviews

Yuki Kataoka, Shunsuke Taito, Norio Yamamoto et al.

2023 · 2 Zit.

Augmented Reality Visualization and Quantification of COVID-19 Infections in the Lungs

Jiaqing Liu, Liang Lyu, Shurong Chai et al.

2024 · 1 Zit.

2. Utilization of Data and AI in Society (2): Utilization in Real-world Settings

Satoshi Kasai

2026 · 0 Zit.

Simulated medical information system: education for aspiring healthcare information technologists.

Koichi Muto, Soichiro Koyama, Shigeo Tanabe et al.

2023 · 0 Zit.

A Machine Learning-Based Prediction Model for the Extremely Rapid Decline of eGFR in Patients with Chronic Kidney Disease Using a Big Database

Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya et al.

2021 · 0 Zit.

Interpretable and Open <scp>AI</scp> Models: A Mandate for the Future of <scp>HCC</scp> Diagnostics

Simone Famularo, Luca Boldrini, Matteo Donadon et al.

2025 · 0 Zit.