cognitive cybersecurity intelligence

News and Analysis

Search

Cedars-Sinai research shows deep learning model could improve AFib detection

Researchers at Cedars-Sinai’s Smidt Heart Institute in Los Angeles have developed an artificial intelligence (AI) technology to analyse echocardiogram images and detect abnormal heart rhythms associated with atrial fibrillation, even when it is not present during the study. The capability to identify hidden heart disorder could change treatment processes and prevent serious heart events.

Source: www.healthcareitnews.com –

Subscribe to newsletter

Subscribe to HEAL Security Dispatch for the latest healthcare cybersecurity news and analysis.

More Posts