Multi-Modal Artificial Intelligence for Cardiovascular Risk Prediction: Integrating ECG, Imaging, Genomics, and Wearable Data
Keywords:
Multimodal Data Integration, Electrocardiogram (ECG), Medical Imaging, Genomics, Wearable Health Devices, Cardiovascular Risk PredictionAbstract
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 complete
view of heart health. Basically, it mixes help predict risks way better. It catches
issues early on, and it customizes care by blending the electrical signals with
structural looks, genetic details, and everyday people's habits.
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Copyright (c) 2026 Aashna Sagar, Dr. Kiranbir Kaur, Dr. Prabhpreet Kaur, Dr. Amandeep Kaur
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
