Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical …
Background Machine learning (ML) is increasingly used in research for subtype definition
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
and risk prediction, particularly in cardiovascular diseases. No existing ML models are …
Application of artificial intelligence in acute coronary syndrome: a brief literature review
H Wang, Q Zu, J Chen, Z Yang, MA Ahmed - Advances in Therapy, 2021 - Springer
Artificial intelligence (AI) is defined as a set of algorithms and intelligence to try to imitate
human intelligence. Machine learning is one of them, and deep learning is one of those …
human intelligence. Machine learning is one of them, and deep learning is one of those …
Artificial intelligence: a shifting paradigm in cardio-cerebrovascular medicine
The future of healthcare is an organic blend of technology, innovation, and human
connection. As artificial intelligence (AI) is gradually becoming a go-to technology in …
connection. As artificial intelligence (AI) is gradually becoming a go-to technology in …
[HTML][HTML] A machine learning-based approach for the prediction of periprocedural myocardial infarction by using routine data
Y Wang, K Zhu, Y Li, Q Lv, G Fu… - … Diagnosis and Therapy, 2020 - ncbi.nlm.nih.gov
Background Periprocedural myocardial infarction (PMI) after percutaneous coronary
intervention (PCI) is associated with the bad prognosis in patients. Current approaches to …
intervention (PCI) is associated with the bad prognosis in patients. Current approaches to …
[HTML][HTML] Focused Chest Pain Assessment for Early Detection of Acute Coronary Syndrome: Development of a Cardiovascular Digital Health Intervention
M Lukitasari, S Apriliyawan, H Manistamara… - Global Heart, 2023 - ncbi.nlm.nih.gov
Background: Chest pain misinterpretation is the leading cause of pre-hospital delay in acute
coronary syndrome (ACS). This study aims to identify and differentiate the chest pain …
coronary syndrome (ACS). This study aims to identify and differentiate the chest pain …
Pre-test probability for coronary artery disease in patients with chest pain based on machine learning techniques
BG Choi, JY Park, SW Rha, YK Noh - International Journal of Cardiology, 2023 - Elsevier
Abstracts Background A correct and prompt diagnosis of coronary artery disease (CAD) is a
crucial component of disease management to reduce the risk of death and improve the …
crucial component of disease management to reduce the risk of death and improve the …
Exploring the Feasibility of Machine Learning to Predict Risk Stratification Within 3 Months in Chest Pain Patients with Suspected NSTE-ACS
ZC Zheng, Y Wei, W Nian, B Jiang, C Peng… - Biomedical and …, 2023 - Elsevier
Objective We aimed to assess the feasibility and superiority of machine learning (ML)
methods to predict the risk of Major Adverse Cardiovascular Events (MACEs) in chest pain …
methods to predict the risk of Major Adverse Cardiovascular Events (MACEs) in chest pain …
Coronary angiography after out-of-hospital cardiac arrest without ST-segment elevation: a systematic review and meta-analysis of randomised trials
Background Out-of-hospital cardiac arrest (OHCA) has a poor prognosis. The optimal timing
and role of early coronary angiography (CAG) in OHCA patients without ST-segment …
and role of early coronary angiography (CAG) in OHCA patients without ST-segment …
Detection of acute coronary syndrome using electrocardiogram signal analysis
Acute Coronary Syndrome (ACS) is a cardiac disorder which has a major impact on
deciding the mortality and morbidity rate. There is a need for early diagnosis of this heart …
deciding the mortality and morbidity rate. There is a need for early diagnosis of this heart …