AI detects hidden heart disease using existing scans stored in patient records

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify individuals with high coronary artery calcium (CAC) levels that place them at a greater risk for cardiovascular events. Their research, published in NEJM AI, showed the tool called AI-CAC had high accuracy and predictive value for future heart attacks and 10-year mortality. Their findings suggest that implementing such a tool widely may help clinicians assess their patients’ cardiovascular risk.

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