AI Solution Identifies Previously Undetected Cardiovascular Risk from Routine Chest CT Scans

Multiple studies have reinforced the link between detected coronary artery calcium and the severity of heart disease. Now, researchers using an artificial intelligence (AI)--powered solution to evaluate routine CT scans have found that over half of the patients were unaware they had moderate to severe CAC levels, which are known markers for future cardiac events.

HealthCCSng, an AI-powered solution created by Nanox.AI (Neve Ilan, Israel), makes use of medical imaging data from standard chest CT scans to automatically determine and assess CAC levels. This tool aids healthcare providers in identifying previously undiagnosed patients with cardiovascular issues and helps to categorize them for targeted preventive measures and treatments. By doing so, it directs patients onto suitable care pathways aimed at either preventing or reducing the likelihood of future heart-related incidents, through early detection and risk assessment.

In the study, the HealthCCSng software was used to gauge CAC levels from regular, non-contrast chest CT scans. Two radiologists then qualitatively evaluated these categorizations. The categories for patient CAC levels were defined as low (CAC 0-99), moderate (CAC 100-399), and severe (CAC greater than 400). Exceptions were made for individuals with specific medical histories or artifacts. Out of the 326 qualified patients who took part in the study between January and July 2023, 101 (or 31%) had severe CAC, 88 (or 27%) had moderate CAC, and 137 (or 42%) had low CAC. Patients found to have severe CAC were referred to specialized cardiology clinics for a comprehensive evaluation and treatment plan, while those with low and moderate CAC levels were advised to consult their primary care doctors for more detailed assessments and medical guidance.

“The patients in this study received routine CT scans that had nothing to do with a cardiac concern. Nanox’s AI technology can enable physicians to route these unsuspecting individuals with high CAC levels to the appropriate care pathways and treatment,” said Professor Ran Kornowski, Director of the Cardiology Center at Beilinson Hospital, who led the study. “While the study’s findings were staggering, we are encouraged by the important role AI can play in early risk identification and prevention of cardiac events.”

“HealthCCSng’s ability to detect hidden cardiovascular risks from routine CT scans offers a significant stride toward preventive cardiac care,” said Dr. Orit Wimpfheimer, Chief Medical Officer of Nanox.AI. “Given the global prominence of cardiovascular disease as the leading cause of mortality and the fact that nearly half of patients realize their condition only after an initial heart attack, leveraging such technologies for general population screening and early detection is absolutely imperative.”

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