This most recent approval marks the fourth of its kind for Tel Aviv, Israel-based Aidoc.

The American Society of Echocardiography released the new recommendations to replace its 2007 edition.

By combining AI with coronary artery calcium scoring and other cardiac measurements, the team would have prevented 73 unnecessary scans.

The 47-page document, published Jan. 6 in the Journal of the American College of Cardiology, touches on multiple cardiac imaging modalities, rating them based on their appropriateness for examining adults and children with previously diagnosed heart defects.

Researchers may improve heart attack outcomes by zeroing in on the cellular activity that causes long-lasting damage to the heart.

Machine learning is more accurate at predicting the long-term risk of potentially life-threatening cardiac events compared to standard clinical assessments, and eventually may revolutionize cardiovascular care.

The new approach offers more comprehensive information with no loss of image quality, and may alter the care landscape for patients with coronary artery disease.

More individuals are receiving cardiac implanted devices than ever before, and as a result, the number of complications stemming from the wire connecting the device to the heart—known as a lead—are also increasing.

Patients who practiced transcendental meditation and cardiac rehabilitation increased their myocardial blood flow by 20.7%.

Not only is MRI-guided intravenous thrombolysis cost-effective, but the approach offers long-term clinical benefits for stroke patients with no known time of onset.

The improved optical coherence tomography approach may help cardiologists distinguish life-threatening plaques from those that are less dangerous.

Adopting a “CTA-for-All” policy helped radiologists detect large vessel occlusion (LVO) and improved outcomes for patients with acute ischemic stroke, according to a recent study published in Stroke.