Cardiovascular

Acute Coronary Syndrome

Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.

8,030 articles
Stay Ahead - Weekly Acute Coronary Syndrome research updates
Subscribe
Browse Categories
Showing 337-357 of 8,030 articles
Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data.

AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and ...

Oct 2025 41624563
Augmenting decision making in acute care surgery: A systematic review of machine learning-driven risk prediction models.

BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity ...

(2)
Oct 2025 41196221
Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records.

BACKGROUND: Thrombophilia evaluation requires integration of biochemical findings with clinical hist...

Oct 2025 41086641
Artificial Intelligence-Based Algorithms Improve Care of Patients with AAA.

BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to pr...

(1)
Oct 2025 41061923
Large language models vs thrombosis experts: a comparative study on patient education and clinical decision-making in venous thromboembolism.

BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in various medica...

Sep 2025 41015158
Integrating generative AI in perinatology: applications for literature review.

Perinatology relies on continuous engagement with an expanding body of clinical literature, yet the ...

Sep 2025 40980855
Central venous catheters tip positioning: Insights from a retrospective analysis.

BACKGROUND: Tunneled central venous catheters (tCVCs) are essential in hemodialysis when arterioveno...

Aug 2025 40878638
Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, desp...

Aug 2025 40829629
Development and validation of venous thromboembolism-bidirectional encoder representations from transformers (VTE-BERT) natural language processing model.

BACKGROUND: Accurate and rapid phenotyping of venous thromboembolism (VTE) in longitudinal studies i...

Aug 2025 40754035
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...

Jul 2025 40640445
Molecular property prediction in the ultra-low data regime.

Data scarcity remains a major obstacle to effective machine learning in molecular property predictio...

Jul 2025 40629077
Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above.

BACKGROUND: Non-ST segment elevation myocardial infarction (Non-STEMI) is a severe cardiovascular co...

Jul 2025 40604602
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...

(2)
Jul 2025 40594284
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 ...

Jul 2025 40597021
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...

(4)
Jul 2025 40598855
Validation of the ACS-NSQIP surgical risk calculator for patients with paraoesophageal hernias undergoing robotic repair.

BACKGROUND: The National Surgical Quality Improvement Program (NSQIP) American College of Surgeons (...

Jun 2025 40576773
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...

Jun 2025 40521835
Machine learning application for bleeding risk prediction in patients with atrial fibrillation treated with oral anticoagulation.

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with a significantly increased...

Jun 2025 40517766
Browse Categories