AI-Driven Prediction of Multiple Outcomes in Older Adults with Coronary Heart Disease
This AI-driven approach represents a significant advancement in geriatric cardiology designed for integration into hospital dashboards, providing real-time patient-centred decision support, optimization of clinical workflow and resource allocation. By advancing digital health solutions and AI driven precision medicine this model sets a new standard for digital health innovations in aging care.
Authors
- Qi Meng (ORCID: https://orcid.org/0000-0001-7082-6666)
- Mohammed Janabi
- Innocent Arnold Tesha
- Wang Jiasi
- Zhao Xizhe
- Kombo Ahmed
- Irene Njoka
- Maliki Abdelilah
- Liu Xinyu
Institutions
- First Affiliated Hospital of Liaoning Medical University (CN)
- Muhimbili National Hospital (TZ)
- Jining Medical University (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- The Gerontologist
- Published
- 2026-02-13
- DOI
- https://doi.org/10.1093/geront/gnag017
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00