Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Haupt is a health and wellness editor at TIME. Haupt is a health and wellness editor at TIME. More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor ...
The way software is developed has undergone multiple sea changes over the past few decades. From assembly language to cloud-native development, from monolithic architecture to microservices, from ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
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AI-enabled stethoscope doubles detection of valvular heart disease
New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to ...
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