"In his new book, Super Agers: An Evidence Based Approach to Longevity, renowned cardiologist Eric Topol highlights a revolutionary development in heart disease prevention: the use of AI to predict an individual's risk of a fatal heart attack years before symptoms occur. As Dr. Topol notes, AI-enhanced imaging of the fat surrounding the coronary arteries now enables doctors to see inflammation, the previously invisible underlying driver of heart attacks and stroke."
"For decades, our approach to coronary artery disease (CAD) has revolved around identifying and treating blockages in coronary arteries - visible obstructions to blood flow, such as plaque. But recent advances in medical research and technology are driving a fundamental reassessment of this approach. We now know that the initial driver of heart attacks and strokes is not plaque alone but rather plaque in combination with inflammation of the coronary arteries. And new anti-inflammatory drugs provide a proven treatment for the condition."
AI tools can analyze standard CT scans to visualize inflammation in the fat surrounding coronary arteries, revealing the inflammatory processes that drive heart attacks and strokes. Detecting coronary inflammation allows identification of high-risk individuals years before conventional methods show obstructive plaque. Anti-inflammatory medications now provide a proven treatment option for inflammation-driven coronary disease. Regulatory shifts and AI breakthroughs are enabling clinical quantification of coronary inflammation and integration into routine practice. Widespread adoption of this approach could transform cardiovascular prevention by enabling earlier, targeted intervention and potentially preventing tens of thousands of fatal heart attacks.
Read at MedCity News
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