AIMC Topic: Myocardial Infarction
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Balancing Acts: Tackling Data Imbalance in Machine Learning for Predicting Myocardial Infarction in Type 2 Diabetes.
Studies in health technology and informatics
Aug 22, 2024
Type 2 Diabetes (T2D) is a prevalent lifelong health condition. It is predicted that over 500 million adults will be diagnosed with T2D by 2040. T2D can develop at any age, and if it progresses, it may cause serious comorbidities. One of the most cri...
Machine Learning Constructed Based on Patient Plaque and Clinical Features for Predicting Stent Malapposition: A Retrospective Study.
Clinical cardiology
Aug 1, 2024
BACKGROUND: Stent malapposition (SM) following percutaneous coronary intervention (PCI) for myocardial infarction continues to present significant clinical challenges. In recent years, machine learning (ML) models have demonstrated potential in disea...
China
Predictive Value of Tests
Tomography, Optical Coherence
Male
Middle Aged
Risk Assessment
Myocardial Infarction
Stents
Coronary Vessels
Humans
Plaque, Atherosclerotic
Machine Learning
Coronary Angiography
Risk Factors
Retrospective Studies
Percutaneous Coronary Intervention
Aged
Female
Coronary Artery Disease
External validation of the myocardial-ischaemic-injury-index machine learning algorithm for the early diagnosis of myocardial infarction: a multicentre cohort study.
The Lancet. Digital health
Jul 1, 2024
BACKGROUND: The myocardial-ischaemic-injury-index (MI) is a novel machine learning algorithm for the early diagnosis of type 1 non-ST-segment elevation myocardial infarction (NSTEMI). The performance of MI, both when using early serial blood draws (e...
Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning.
European heart journal. Acute cardiovascular care
Jun 30, 2024
AIMS: Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the USA with morbidity and mortality being highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock ...
Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Predicting mortality after acute myocardial infarction (AMI) is crucial for timely prescription and treatment of AMI patients, but there are no appropriate AI systems for clinicians. Our primary goal is to develop a reliable and interpreta...
Machine learning-driven predictions and interventions for cardiovascular occlusions.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in...
Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study.
Open heart
Jan 1, 2023
BACKGROUND: Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).
[Research progress of in-hospital mortality risk model in patients with acute myocardial infarction].
Zhonghua wei zhong bing ji jiu yi xue
May 1, 2022
The incidence of in-hospital death in acute myocardial infarction (AMI) is high, which seriously threatens the life and health of patients. At present, many countries and regions have established a variety of objective assessment models for predictin...
Validating Deep Learning to Distinguish Takotsubo Syndrome From Acute Myocardial Infarction-Beware of Shortcuts, Human Supervision Required.
JAMA cardiology
May 1, 2022
Deep learning-based prediction of heart failure rehospitalization during 6, 12, 24-month follow-ups in patients with acute myocardial infarction.
Health informatics journal
Jan 1, 2022
Heart failure is a clinical syndrome that occurs when the heart is too weak or stiff and cannot pump enough blood that our body needs. It is one of the most expensive diseases due to frequent hospitalizations and emergency room visits. Reducing unnec...
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