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 ...
Background and objectives The History, ECG, Age, Risk factors and Troponin (HEART) score is widely used for emergency ...
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 ...
A reinforcement learning agent trained on numerical simulations of cardiac arrhythmia reduced the amplitude of pulses used to ...
The Family Heart Foundation has published a new study in JACC: Advances demonstrating how its FIND Lp(a) Machine Learning ...
An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...
A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.
OULU, Finland, Aug. 27, 2026 /PRNewswire/ -- Bittium today launches Bittium Faros Pro™, a new ambulatory ECG device designed for long-term ECG recording, together with Bittium EasyFlex™, a single-use ...
Understanding gene regulation may be the key to interpreting human disease genetics. Genes are regulated in part by stretches ...
Integrating machine learning with clinical red flags may help in the diagnosis of patients with suspected hereditary ATTR.
Multiple US health systems have been awaiting the authorization before taking the Queen of Hearts platform live.
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