Latest AI and machine learning research in peripheral artery disease for healthcare professionals.
BACKGROUND AND OBJECTIVE: Coronary artery disease, which is mostly caused by atherosclerotic narrowi...
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each...
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologist...
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic b...
BACKGROUND: Abdominal aortic atherosclerotic plaque burden may have clinical significance but manual...
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (...
To assess the interest of a new sphincter preserving anastomosis technique for continence recovery ...
Atherosclerosis is the underlying pathology in a major part of cardiovascular disease, the leading c...
BACKGROUND: Uremic toxins are associated with various chronic kidney disease-related comorbidities. ...
The recent technological developments in the field of cardiac imaging have established coronary comp...
BACKGROUND: Machine learning (ML) is able to extract patterns and develop algorithms to construct da...
Positron emission tomography (PET) imaging is useful in cardiovascular disease across several areas,...
OBJECTIVE: The infrapatellar fat pad (IPFP) has been associated with knee osteoarthritis onset and p...
In the past decade, there has been a tremendous increase in studies on the link between oral microbi...
Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggre...
We propose a fully automated algorithm based on a deep learning framework enabling screening of a co...
Peripheral arterial disease (PAD) and its most severe form, critical limb ischaemia (CLI), are very ...
PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not bee...
Risk stratification of young patients with hypertension remains challenging. Generally, machine lear...
This paper presents a novel bed-leaving sensor system for real-time recognition of bed-leaving behav...