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

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

Background Patients with peripheral artery disease are at increased risk for major adverse cardiac events, major adverse limb events, and all‐cause death. Developing tools capable of identifying those patients with peripheral artery disease at greatest risk for major adverse events is the first step...

Full description

Bibliographic Details
Main Authors: Robert D. McBane, Dennis H. Murphree, David Liedl, Francisco Lopez‐Jimenez, Itzhak Zachi Attia, Adelaide M. Arruda‐Olson, Christopher G. Scott, Naresh Prodduturi, Steve E. Nowakowski, Thom W. Rooke, Ana I. Casanegra, Waldemar E. Wysokinski, Damon E. Houghton, Haraldur Bjarnason, Paul W. Wennberg
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
artificial intelligence
major adverse cardiac events
major adverse limb events
peripheral artery disease
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.123.031880

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.123.031880

Similar Items