An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...
New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...
Each year in the U.S., more than 300,000 people die from sudden cardiac arrest, a condition in which the heart's electrical ...
Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...
An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...
ECG denotes electrocardiogram; HCM–, hypertrophic cardiomyopathy negative; and HCM+, hypertrophic cardiomyopathy positive. Mount Sinai researchers studying a type of heart disease known as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results