Kyushu University Hospital

A Learning Program for Treatment Recommendations by Molecular Tumor Boards and Artificial Intelligence

Kuniko Sunami, Yoichi Naito, Yusuke Saigusa et al.

2023 · 12 Zit.

Artificial intelligence-based analysis of payment system data can predict one-year mortality of hospitalized patients with heart failure

Takeshi Tohyama, Kouta Funakoshi, Hidetaka Kaku et al.

2020 · 2 Zit.

The Potential of ChatGPT in Assisting Healthcare Professionals with Personalized Time-Scheduled Care Plans: Opportunities and Challenges

Sherif Nesnawy, Mohammed F. Radwan, Fatma Mostafa Mahrous

2024 · 0 Zit.

Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study

Saori Tou, Koutarou Matsumoto, Asato Hashinokuchi et al.

2025 · 0 Zit.

Abstract 4365487: A Novel Classification of Heart Failure Derived from the Nationwide JROADHF Cohort Using Unsupervised Machine Learning

Atsushi Kyodo, Yasuki Nakada, Kazutaka Nogi et al.

2025 · 0 Zit.