Cardiovascular

PCI

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

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Automatic measuring of coronary atherosclerosis from medicolegal autopsy photographs based on deep learning techniques.

A diagnosis of atherosclerotic cardiovascular disease is critical importance in forensic medicine, p...

Deep learning reconstruction enhances image quality in contrast-enhanced CT venography for deep vein thrombosis.

PURPOSE: This study aimed to evaluate and compare the diagnostic performance and image quality of de...

Construction of a Machine Learning-Based Clopidogrel Resistance Risk Prediction Model.

Clopidogrel is extensively utilized for the prevention and treatment of cardiovascular, cerebrovascu...

Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.

Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracereb...

An Interpretable Artificial Intelligence System for Crohn's Disease Ulcer Identification and Grading on Double-Balloon Enteroscopy Images.

BACKGROUND: Crohn's disease (CD) is an incurable inflammatory bowel disease that can lead to a varie...

Method for Predict Stenosis of Arteriovenous Fistula Patients Based on Machine Learning.

OBJECTIVES: Arteriovenous fistula (AVF) is the most ideal vascular access for hemodialysis. People w...

Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024.

BACKGROUND: Thrombosis of arteriovenous fistulas represents a prevalent complication among patients ...

A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to as...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires ...

Thrombo-vera: a new thrombosis risk model for polycythemia vera using modern variable selection methods.

BACKGROUND: Thrombosis is a major complication in polycythemia vera (PV), contributing to significan...

Echocardiography for short-term mechanical circulatory support: a trans-Atlantic practical guide.

Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic...

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.

BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negat...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic h...

Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets.

Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains cru...

Impact of body mass index on D-dimer diagnostic utility for deep vein thrombosis in patients with cancer: a single-center retrospective analysis.

BACKGROUND: Deep vein thrombosis (DVT) is a common complication in cancer patients associated with s...

Using machine learning models to predict post-revascularization thrombosis in PAD.

BACKGROUND: Graft/ stent thrombosis after lower extremity revascularization (LER) is a serious compl...

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