Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and req...
We describe Australia's first reported case of robotic kidney autotransplantation for a complex rena...
BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate t...
We propose a fully automated algorithm based on a deep learning framework enabling screening of a co...
An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warran...
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...
Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...
Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous stu...
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative rec...
PURPOSE: The highly structured nature of medical reports makes them feasible for automated large-sca...
Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events...
OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative trea...
Plaque rupture and subsequent thrombosis are major processes of acute cardiovascular events. The Vul...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
PURPOSE: Cerebrovascular aneurysms are being observed with rapidly increasing incidence. Therefore, ...
For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterizat...
In this work we present a framework for blood cholesterol levels prediction from genotype data. The ...
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging...
There is an unmet need for identifying innovative machine learning (ML) strategies to improve drug t...
Organ chips can recapitulate organ-level (patho)physiology, yet pharmacokinetic and pharmacodynamic ...