The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
News-Medical.Net on MSN
Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Live Science on MSN
Scientists are developing a 'self-driving' device that helps patients recover from heart attacks
Live Science spoke with Dr. Joe Alexander of NTT Research about "digital twins" and the development of an autonomous device ...
Objective Patients with atrial fibrillation (AF) frequently have multiple comorbidities that increase the risk of hospitalisation and contribute to higher mortality. However, studies examining the ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Doctors may soon be able to diagnose a tricky heart condition within seconds using artificial intelligence and a standard ...
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