Kyushu University Hospital

Surgical data science – from concepts toward clinical translation

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarikaya et al.

2021 · 39 Zit.

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

Kuniko Sunami, Yoichi Naito, Yusuke Saigusa et al.

2023 · 13 Zit.

Relevance of ChatGPT’s Responses to Common Hypertension-Related Patient Inquiries

Yuichiro Yano, Akira Nishiyama, Yusuke Suzuki et al.

2023 · 9 Zit.

The impact of limited access to digital health records on doctors and their willingness to adopt electronic health record systems

Mohamed Mehfoud Bouh, Forhad Hossain, Prajat Paul et al.

2024 · 6 Zit.

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

F. Irie, Koutarou Matsumoto, Ryu Matsuo et al.

2023 · 5 Zit.

Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data

Koutarou Matsumoto, Masahiro Suzuki, Kazuaki Ishihara et al.

2025 · 4 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.

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.