Cardiovascular

Acute Coronary Syndrome

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

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Showing 85-105 of 8,030 articles
Bridging the Art and Science: A Symposium Honoring Prof. Luis M. Liz-Marzán for the Dong Qin ACS Award in Nanochemistry.

This Nano Focus article summarizes the symposium honoring the inaugural Dong Qin ACS Award in Nanoch...

Jul 2026 42504563
Mechanics, Fracture, and Fragmentation of Thrombi: A Computational Study Review.

Thrombosis drives myocardial infarction, acute ischemic stroke and pulmonary embolism, yet more than...

(2)
Jul 2026 42508673
Risk Factors for Coronary Heart Disease and Stroke Among Older Adults With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Nationwide Cohort Study.

BACKGROUND: Older adults with metabolic dysfunction-associated steatotic liver disease have elevated...

(2)
Jul 2026 42500890
Intracardiac Echocardiography-Guided Left Atrial Appendage Occlusion: A Comprehensive Narrative Review.

Intracardiac echocardiography (ICE) is an alternative to transesophageal echocardiography for imagin...

(1)
Jul 2026 42496081
Preoperative artificial intelligence-based risk model for surgical reintervention after microsurgical free flap reconstruction.

BACKGROUND: Flap-related vascular complications requiring surgical reintervention remain a source of...

(2)
Jul 2026 42546494
The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair.

BACKGROUND: No validated, procedure-specific tool exists for predicting 30-day complications after o...

Jul 2026 42479551
[Overview and conclusions of the STROKE data platform of the National Laboratory for Translational Neuroscience and the associated clinical studies].

Acute ischemic and hemorrhagic stroke are among the leading causes of mortality and long-term disabi...

(2)
Jul 2026 42472441
Reinforcement learning for treatment decision-making in sepsis: a scoping review.

This scoping review summarizes the progress of reinforcement learning (RL) in clinical decision-maki...

(1)
Jul 2026 42471397
Precision Medicine for Anticoagulation Strategies in the Cath Lab: Part 2.

PURPOSE OF REVIEW: Intraprocedural anticoagulation during percutaneous coronary intervention (PCI) r...

(1)
Jul 2026 42467330
Natural language processing identifies symptoms predicting complete coronary artery occlusion in patients with NSTEMI.

AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary sy...

(1)
Jul 2026 41645741
Machine Learning-Based Early Risk Stratification for Sepsis-Related Troponin-Defined Myocardial Injury Using Routine Metabolic Indicators.

BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, p...

(4)
Jul 2026 42462621
Non-invasive arterial blood pressure waveform generation in critically ill patients: A sensor-based deep learning approach.

Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...

(2)
Jul 2026 42456268
Serum 1H NMR-Based Untargeted Metabolomics for Noninvasive Early Detection of Breast Cancer.

Breast cancer (BC) is the most common malignancy among women, and late-stage presentation remains co...

(1)
Jul 2026 42457245
Machine learning and traditional regression approaches to predict risk of cardiovascular events in patients with acute coronary syndrome.

We aimed to compare the prognostic value of Machine learning (ML) and traditional Cox regression met...

Jul 2026 42449317
Prognosis Prediction and Shared Decision Making for Personalised Anticoagulant Therapy after Unprovoked Venous Thromboembolism: The MORPHEUS project.

Background In patients with unprovoked venous thromboembolism (VTE), indefinite anticoagulation is r...

(1)
Jul 2026 42447897
Transformer-DAPT: AI-based dynamic assessment of ischemic and bleeding risks in patients on DAPT following PCI.

Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally...

(1)
Jul 2026 42448824
Deep Learning Models Capture Umbrella Sampling-Derived Energetic Trends: A Troponin C Case Study.

Deep learning models have transformed several fields lately. In the past, capturing thermodynamic tr...

Jul 2026 42439276
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