A wearable device developed by Philips uses AI to help doctors spot irregular heart rhythms that short hospital tests may ...

AccurKardia, Inc., an ECG-led diagnostics software company, and Wellysis, a digital healthcare company and developer of the S ...

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

Thirty day electrocardiogram (ECG) monitoring in patients with hypertrophic cardiomyopathy (HCM) detects more arrhythmias than the standard 24 to 48 hours, according to late breaking science presented ...

Abstract and Introduction Employment of ECG in HF: Current State of the Art Employment of ECG in HF: A Proposal References Employment of ECG in HF: Current State of the Art The ECG is presently always ...

UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...

Common electrocardiographic (ECG) metrics that are automatically reported during standard ECG acquisition are independent risk markers for cardiovascular (CV) death and enhance the ability to predict ...

COVID-19, which is the result of infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), commonly causes cardiac injury to develop in hospitalized patients. Acute myocardial ...

All over the world, cardiovascular problems are one of the leading causes of death. Across many communities, healthcare workers use electrocardiogram (ECG) sensors to monitor the heart of the patients ...

Please provide your email address to receive an email when new articles are posted on . In a cohort of 487 patients with lupus but without cardiovascular disease, 21.4% had electrocardiogram-4 ...

In the near future, doctors may be able to apply artificial intelligence to electrocardiogram data in order to measure overall health status, according to new research published in Circulation: ...