Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery Disease.

Robert D McBane Ii Dennis H Murphree David Liedl Francisco Lopez-Jimenez Itzhak Zachi AttiaAdelaide M Arruda-OlsonChristopher G ScottNaresh ProdduturiSteve E NowakowskiThom W Rooke Ana I CasanegraWaldemar E WysokinskiDamon E Houghton Haraldur BjarnasonPaul W Wennberg

Published in: Journal of the American Heart Association (2024)

An artificial intelligence-enabled analysis of Doppler arterial waveforms enables identification of major adverse outcomes among patients with peripheral artery disease, which may promote early adoption and adherence of risk factor modification.

Keyphrases

artificial intelligence
peripheral artery disease
machine learning
big data
deep learning
risk factors
blood flow
type diabetes
metabolic syndrome
bioinformatics analysis