A reinforcement learning agent trained on numerical simulations of cardiac arrhythmia reduced the amplitude of pulses used to ...
An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...
Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient's preoperative 3D medical scan.
The Family Heart Foundation has published a new study in JACC: Advances demonstrating how its FIND Lp(a) Machine Learning ...
World’s first FDA authorization for an AI ECG solution designed to detect acute heart attacks requiring urgent cardiologist review, enabling scalable ...
AI is increasingly being utilized to analyze biosignals collected by wearable devices such as smartwatches. By identifying meaningful pattern ...
Researchers detected hypertension and type 2 diabetes with high accuracy in as little as 5 seconds using machine learning on ...
Background and objectives The History, ECG, Age, Risk factors and Troponin (HEART) score is widely used for emergency ...
Page Report Maps Patch, Smartwatch, and Handheld ECG Devices as Regulatory Clearances and AI-Powered Arrhythmia Detection Reshape Cardiac Monitoring Outside the ClinicDublin, Sept. 04, 2026 (GLOBE ...
ECG fatigue detection using machine learning accurately identified fatigue status in older adults, with a 97.96% test accuracy in a dataset of 100 participants. Researchers developed a portable ...
Sudden cardiac death kills about 300,000 people in the U.S. each year, even though implantable defibrillators have been able to stop many lethal arrhythmias for decades. The main issue today isn’t in ...
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