Pulmonary hypertension (PH) is a progressive and life-threatening disease associated with significant morbidity and mortality. The symptoms of pulmonary hypertension are nonspecific, so delays in diagnosis are common and associated with worse outcomes.
A precise, noninvasive screening tool for PH is needed to improve early detection and treatment. Machine learning can facilitate the detection of subtle, disease-specific abnormalities on routine tests, such as electrocardiograms (ECGs), which […]
An electrocardiogram-based artificial intelligence algorithm for early detection of pulmonary …