Applications, Safety Challenges and Future Directions of AI Agents in Cardiovascular Prediction: A Review of Technological Evolution, System Architecture and Clinical Translation
Cardiovascular disease remains a major contributor to mortality and long-term morbidity worldwide. For this reason, risk prediction, early detection, and decision support have become central tasks in digital health research. Cardiovascular prediction has developed from statistical scores to machine learning and deep le...