Multi-Modal Artificial Intelligence for Cardiovascular Risk Prediction: Integrating ECG, Imaging, Genomics, and Wearable Data
Abstract
Cardiovascular diseases remain the biggest killers. Early detection makes a real difference in stopping and handling treatment right. Pulling together data from all sorts of places, like ECGs and medical images, genomics, plus from wearable devices, it paints this completeview of heart health. Basically, it mixes help predict risks way better. It catchesissues early on, and it customizes care by blending the electrical signals withstructural looks, genetic details, and everyday people's habits.
Fields of Study & Subjects
ECG Monitoring and Analysis
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Publication details
- Journal / source
- International Journal of Healthcare Education & Medical Informatics
- Volume
- 13
- Issue
- 1
- Pages
- 13–1&2
- Publication date
- 22 January 2026
- Language
- EN