“Coronary calcium revealed long ago that atherosclerosis begins well before symptoms. AI-CVD extends that insight by enabling systematic identification of patients who are unaware of their cardiovascular risk using CT scans that already exist,” said Arthur Agatston, MD.

This news follows similar announcements from Humana, Cigna and UnitedHealthcare; a majority of insured Americans can now be treated with these technologies and have the procedure covered by their provider. 

ASE President David Wiener, MD, discussed his goals for 2026 in a new video interview. "The imager who doesn't use artificial intelligence will be replaced by the imager who does,” he said.

AccurECG 2.0 was designed to interpret a total of 13 different rhythm classifications, including atrial fibrillation, atrial flutter and ventricular tachycardia. 

This update helps health systems get more value out of UltraSight's advanced AI technology—all without buying brand new ultrasound equipment.

The new deep learning algorithm is capable of detecting signs of coronary microvascular dysfunction in seconds.

Researchers put an advanced AI model to the test, using it to evaluate the ECG results of more than 1,000 patients. It performed quite well.