1 Day
Source:
الصحة والعلوم الشرق الأوسط
Source: الصحة والعلوم الشرق الأوسط
1 Dayالصحة والعلوم الشرق الأوسط
Source: الصحة والعلوم الشرق الأوسط
1 DayReady to play
Ready to play
A recent study has revealed that analyzing electrical activity recordings of the heart during sleep using artificial intelligence techniques can predict the risk of cardiovascular diseases years before they manifest. The study is based on sleep monitoring tests, which are typically used to diagnose sleep disorders. The trained model, built on data from more than 15,000 patients, was able to accurately classify long-term risks of heart attacks, arrhythmias, and strokes—even after accounting for traditional risk factors such as age, diabetes, and high blood pressure. The findings show that this technology, which relies on recordings that can be collected in a single night using simple, low-cost devices, provides an effective and flexible tool for assessing future heart disease risks. This advancement enhances early prediction potential and supports improved clinical decision-making in this field.
Notice: This Is an AI-Generated Summary
Comments (0)