Nanox promotes CAC study using AI software

Nanox Imaging’s HealthCCSng AI Detects Coronary Artery Calcium in Routine CT Scans

Nanox Imaging has showcased a study conducted in Israel that utilized HealthCCSng, an AI algorithm, in conjunction with CT scans to identify moderate to severe levels of coronary artery calcium (CAC) in 58% of patients. CAC is a well-established predictor of future cardiac events.

The algorithm, developed by Nanox subsidiary Nanox.AI, analyzes medical imaging data from standard chest CT scans to automatically quantify and assess CAC levels. In a study at Beilinson Hospital in Petah Tikva, clinicians led by Dr. Ran Kornowski, head of the cardiology center, applied the algorithm to 326 patient CT scans that were not initially related to cardiac concerns.

The algorithm successfully identified 101 patients (31%) with severe CAC, 88 (27%) with moderate CAC, and 137 (42%) with low CAC. Patients with severe CAC were referred to specialized preventive cardiology clinics for further evaluation and treatment, while those with low and moderate CAC were directed to primary care physicians for continued monitoring and medical optimization, as explained by Dr. Kornowski in a press release.

“These patients underwent routine CT scans unrelated to cardiac concerns,” said Dr. Kornowski. “Nanox’s AI technology empowers physicians to identify unsuspected individuals with elevated CAC levels and direct them to appropriate care pathways and treatment.”

HealthCCSng is approved by the U.S. Food and Drug Administration and has received the CE mark in Europe, according to Nanox.