Cardiovascular

Atherosclerosis

Latest AI and machine learning research in atherosclerosis for healthcare professionals.

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Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments.

BACKGROUND: Dental plaque causes many common oral diseases (e.g., caries, gingivitis, and periodonti...

Intelligent classification of platelet aggregates by agonist type.

Platelets are anucleate cells in blood whose principal function is to stop bleeding by forming aggre...

A machine learning approach to estimation of phase diagrams for three-component lipid mixtures.

The plasma membrane of eukaryotic cells is commonly believed to contain ordered lipid domains. The i...

Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage.

All living systems are maintained by a constant flux of metabolic energy and, among the different re...

Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.

BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and req...

How to do it: a robotic kidney autotransplant.

We describe Australia's first reported case of robotic kidney autotransplantation for a complex rena...

A semi-automated machine-learning based workflow for ellipsoid zone analysis in eyes with macular edema: SCORE2 pilot study.

BACKGROUND AND OBJECTIVE: To develop a semi-automated, machine-learning based workflow to evaluate t...

Prediction of Intracranial Aneurysm Risk using Machine Learning.

An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warran...

PredyCLU: A prediction system for chronic leg ulcers based on fuzzy logic; part II-Exploring the arterial side.

Peripheral arterial disease (PAD) and its most severe form, critical limb ischaemia (CLI), are very ...

Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.

PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not bee...

Sulodexide modulates the dialysate effect on the peritoneal mesothelium.

Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...

Stroke Prediction with Machine Learning Methods among Older Chinese.

Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous stu...

The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative rec...

Identification of patients with carotid stenosis using natural language processing.

PURPOSE: The highly structured nature of medical reports makes them feasible for automated large-sca...

Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events...

Artificial intelligence in abdominal aortic aneurysm.

OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative trea...

Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.

Plaque rupture and subsequent thrombosis are major processes of acute cardiovascular events. The Vul...

Vitamin D insufficiency is associated with subclinical atherosclerosis in HIV-1-infected patients on combination antiretroviral therapy.

Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...

Deep learning for automated cerebral aneurysm detection on computed tomography images.

PURPOSE: Cerebrovascular aneurysms are being observed with rapidly increasing incidence. Therefore, ...

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