Using machine learning, noninvasive test can assess CAD in 3 minutes

Artificial intelligence

A machine learning algorithm derived from thoracic phase signals can identify obstructive coronary artery disease (CAD) with the same accuracy as existing functional tests, according to a study published Aug. 8 in PLOS One. The signals can be collected in about three minutes and don’t require the patient to exercise or be exposed to radiation, contrast media or pharmacological stress.

Could a genetic test ID people who are high risk for heart attack?

Harvard scientist Sekar Kathiresan, MD, believes polygenic risk score could help identify people at high risk for heart attack. Kathiresan, director of the Cardiovascular Disease Initiative at the Broad Institute and a professor at Harvard Medical School, said polygenic risk scores, based on genetic testing, will be as commonly known as cholesterol levels. 

iSchemaView RAPID Technology Now Installed in More Than 500 Stroke Centers—up 48% Since April

Redwood City, Calif. — August 14, 2018 — iSchemaView, the leader in cerebrovascular imaging analysis, today announced accelerated adoption of the RAPID advanced imaging platform. Over 575 stroke centers in 22 countries around the world have now committed to using the RAPID platform, with 520 currently installed.