Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.
Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the definition of HF and its antecedent stages have limited research, global ...
UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
The FDA cleared EchoNext, the first artificial intelligence tool to detect structural heart disease before symptoms present.
Explore my Withings Body Scan review after a month of testing. Discover who actually benefits most—and who should buy a ...
Pulmonary embolism accounts for 10–15% of all paediatric venous thromboembolism (VTE) events, with an annual incidence of 0·14–0·9 per 100 000 children.1,2 Although rare, pulmonary embolism is a ...
Background Double sequential defibrillation (DSD) is a promising treatment for patients with out-of-hospital cardiac arrest ...
A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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