EHR data can be used to identify patients at high risk for peripheral artery disease
A machine learning-based model based on characteristics correlating with ankle-brachial index identified patients at high risk for PAD.
Source: Healio
A machine learning-based model based on characteristics correlating with ankle-brachial index identified patients at high risk for PAD.
Source: Healio
Peripheral artery disease remains underdiagnosed and undertreated among women worldwide and efforts are needed to increase awareness, improve diagnoses and ensure patient referrals, according to a speaker.
Source: Healio
The new system allows physicians to remotely steer the magnetic guidewire, quickly select the correct path through complex vascular bifurcations, and reach the target site, effectively reducing radiation exposure of physicians and supporting for remote areas.
Source: Medical Xpress
If you have peripheral artery disease (PAD) and deal with leg pain and cramping, it's understandable that you'd want to avoid anything that triggers discomfort, like walking. But (ironically enough) exercising your legs may actually help improve your PAD symptoms in the long run.
Source: Livestrong
Compared with white patients, Black and Hispanic patients with peripheral vascular disease are younger, have more comorbidities, are less likely to undergo revascularization and more likely to undergo amputation, national data show.
Source: Healio