Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management

S Nie, S Zhang, Y Zhao, X Li, H Xu, Y Wang… - Advances in …, 2024 - Springer
Acute coronary syndrome (ACS) is a leading cause of death worldwide. Prompt and
accurate diagnosis of acute myocardial infarction (AMI) or ACS is crucial for improved …

Leveraging machine learning techniques to forecast chronic total occlusion before coronary angiography

Y Shi, Z Zheng, Y Liu, Y Wu, P Wang, J Liu - Journal of Clinical Medicine, 2022 - mdpi.com
Background: Chronic total occlusion (CTO) remains the most challenging procedure in
coronary artery disease (CAD) for interventional cardiology. Although some clinical risk …

Machine learning-based analysis of risk factors for chronic total occlusion in an Asian population

Y Shi, Z Cheng, W Jian, Y Liu… - Journal of International …, 2023 - journals.sagepub.com
Objectives Chronic total occlusion (CTO) is a form of coronary artery disease (CAD)
requiring percutaneous coronary intervention. There has been minimal research regarding …

Performance of artificial intelligence in detecting the chronic total occlusive lesions of coronary artery based on coronary computed tomographic angiography

Y Yang, Z Zhou, N Zhang, R Wang… - Cardiovascular …, 2024 - pmc.ncbi.nlm.nih.gov
Background Coronary chronic total occlusion (CTO) increases the risk of developing major
adverse cardiovascular events (MACE) and cardiogenic shock. Coronary computed …

Deep learning based detection of collateral circulation in coronary angiographies

CA Hatfaludi, D Bunescu, CF Ciuşdel… - 2023 IEEE 36th …, 2023 - ieeexplore.ieee.org
Coronary artery disease (CAD) is the dominant cause of death and hospitalization across
the globe. Atherosclerosis, an inflammatory condition that gradually narrows arteries and …