National Center for Global Health and Medicine

Applications of and issues with machine learning in medicine: Bridging the gap with explainable AI

Kenji Karako, Wei Tang

2024 · 26 Zit.

New possibilities for medical support systems utilizing artificial intelligence (AI) and data platforms

Kenji Karako, Peipei Song, Yu Chen et al.

2023 · 14 Zit.

Application of deep neural survival networks to the development of risk prediction models for diabetes mellitus, hypertension, and dyslipidemia

Yoshinori Sasagawa, Yosuke Inoue, Katsuya Futagami et al.

2023 · 6 Zit.

Fine-tuned large Language model for extracting newly identified acute brain infarcts based on computed tomography or magnetic resonance imaging reports

Nana Fujita, Koichiro Yasaka, Shigeru Kiryu et al.

2025 · 4 Zit.

Exploring nurse educators’ and students’ use of large language models for academic purposes in a developing country: Unethical uses reported

Sameh Eltaybani, Heba Fakieh Mansy Ali, Ghada Elsayed Abdelhalim

2025 · 3 Zit.

Artificial intelligence for personalized therapy

Yasuhide Yamada

2024 · 1 Zit.

The Fine Balance Between Complete Data Integrity in Medical Adaptive Machine Learning Systems and the Protection of Research Participants

Keiichiro Yamamoto, Tomohide Ibuki, Eisuke Nakazawa

2024 · 0 Zit.

Data Validation and Verification Using Blockchain in a Clinical Trial for Breast Cancer: Regulatory Sandbox (Preprint)

Tomonobu Hirano, Tomomitsu Motohashi, Kosuke Okumura et al.

2020 · 0 Zit.

2) Present and Future of AI-aided Radiological Diagnosis

Toshiaki Akashi, Akihiro Machitori, Shigeki Aoki

2022 · 0 Zit.