Heart failure affects about 2% to 3% of people globally—including up to 9% of those over 60—and about 6.5 million Americans. For a person with this chronic, progressive condition, the heart ...

An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ...

ECG-AI™ LEF, Anumana’s breakthrough AI algorithm using routine 12-lead ECG data to detect Low Ejection Fraction (LEF) – a commonly underdiagnosed indicator of heart failure 2 – received U ...

Imbria’s heart failure medicine met the safety and tolerability goals in a phase 2 trial but also improved results on a cardiopulmonary exercise test.

AI transforms smartwatch ECG signals into a diagnostic tool for heart failure. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 11 / 221114190626.htm ...

Elevated resting heart rate may be a novel risk factor for end-stage renal disease, independent from other traditional risk factors, according to a study published in the Journal of the American ...

A study published in Nature Medicine reports the ability of a smartwatch ECG to accurately detect heart failure in nonclinical environments. Researchers at Mayo Clinic applied artificial ...

Figure 2. Courtesy of ... resulting in a notching or bump on the T wave as in this ECG. Therefore, this is ... Heart Racing and Probable Heart Failure - Medscape - Jul 18, 2022. Tables. Authors ...