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Researchers have developed a new AI tool that can detect subtle signs in routine heart test data that may indicate which ...
An asymptomatic male patient with definite LQTS with a normal ECG and QTc who was flagged by the AI. Photo Credit: J. Martijn Bos and Michael Ackerman. A new artificial intelligence (AI) solution ...
In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.
Discover how machine learning models are revolutionizing the diagnosis of occlusion myocardial infarction (OMI) in patients with acute chest pain. Machine learning models surpass clinicians and ...
In many low- and middle-income countries, pediatric cardiologists can't help children with congenital heart conditions ...
DiaBeats algorithm can be used to screen in low-resource settings, as it can quickly predict diabetes and prediabetes with 97% accuracy. New machine learning and artificial intelligence (AI) technique ...
Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...