Cardiovascular

Peripheral Artery Disease

Latest AI and machine learning research in peripheral artery disease for healthcare professionals.

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Retzius-sparing technique independently predicts early recovery of urinary continence after robot-assisted radical prostatectomy.

Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for locali...

Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.

BACKGROUND: Although the diagnostic method for coronary atherosclerosis heart disease (CAD) is const...

Impact of the severity of urethrovesical anastomotic leakage on urinary continence following robot-assisted laparoscopic prostatectomy.

We assessed whether the severity of anastomotic urinary leakage detected during routine cystourethro...

Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.

Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderl...

Robotically assisted hybrid coronary revascularization-Masterly technique but is it for the masses?

Hybrid coronary revascularization consists of left internal thoracic artery (LITA) graft to the left...

Low-Cost Force Sensors Embedded in Physical Human-Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation.

In modern times, the collaboration between humans and machines increasingly rises, combining their r...

Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease.

BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney dis...

Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning.

In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...

A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation.

Machine learning approaches have shown great promise in biology and medicine discovering hidden info...

Intracerebral haemorrhage volume, haematoma expansion and 3-month outcomes in patients on antiplatelets. A systematic review and meta-analysis.

AIMS: We assessed the association of prior antiplatelet therapy (APT) at onset of intracerebral haem...

Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but du...

Ultrasound deep learning for monitoring of flow-vessel dynamics in murine carotid artery.

Several arterial diseases are closely related with mechanical properties of the blood vessel and int...

Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry.

Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis...

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