AIMC Topic: Coronary Artery Disease
Clear Filters Showing 451 to 460 of 525 articles
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...
Middle Aged
Risk Assessment
China
Predictive Value of Tests
Risk Factors
Aged
Male
Myocardial Infarction
Stents
Coronary Vessels
Plaque, Atherosclerotic
Tomography, Optical Coherence
Coronary Angiography
Percutaneous Coronary Intervention
Coronary Artery Disease
Humans
Machine Learning
Retrospective Studies
Female
Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry.
European heart journal. Cardiovascular Imaging
Jun 28, 2024
AIMS: Vessel-specific coronary artery calcification (CAC) is additive to global CAC for prognostic assessment. We assessed accuracy and prognostic implications of vessel-specific automated deep learning (DL) CAC analysis on electrocardiogram (ECG) ga...
Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.
The British journal of radiology
Jun 18, 2024
OBJECTIVES: This study aimed to assess the impact of super-resolution deep learning reconstruction (SR-DLR) on coronary CT angiography (CCTA) image quality and blooming artifacts from coronary artery stents in comparison to conventional methods, incl...
Clinical named entity recognition for percutaneous coronary intervention surgical information with hybrid neural network.
The Review of scientific instruments
Jun 1, 2024
Percutaneous coronary intervention (PCI) has become a vital treatment approach for coronary artery disease, but the clinical data of PCI cannot be directly utilized due to its unstructured characteristics. The existing clinical named entity recogniti...
Artificial intelligence-based assessment of built environment from Google Street View and coronary artery disease prevalence.
European heart journal
May 7, 2024
BACKGROUND AND AIMS: Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the...
Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.
The American journal of managed care
May 1, 2024
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified ...
Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischaemia algorithm for patients with suspected coronary artery disease.
European heart journal. Cardiovascular Imaging
Apr 30, 2024
AIMS: Coronary computed tomography angiography (CTA) imaging is used to diagnose patients with suspected coronary artery disease (CAD). A novel artificial intelligence-guided quantitative computed tomography ischaemia algorithm (AI-QCTischaemia) aims...
Can machine learning predict cardiac risk using mammography?
European heart journal. Cardiovascular Imaging
Mar 27, 2024
Mammography-based deep learning model for coronary artery calcification.
European heart journal. Cardiovascular Imaging
Mar 27, 2024
AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coron...
Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.
Therapeutic advances in cardiovascular disease
Jan 1, 2024
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32006
- Neural Networks, Computer 30221
- Algorithms 27397
- Deep Learning 26901
- Artificial Intelligence 24835
- Robotics 13387
- Image Processing, Computer-Assisted 9735
- Retrospective Studies 9342
- Magnetic Resonance Imaging 6346
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4865
- Support Vector Machine 4769
- Computational Biology 4332
- Brain 4129
- Computer Simulation 3935
Recent Journals
- Scientific reports 6775
- Sensors (Basel, Switzerland) 4794
- PloS one 4200
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1916
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1172
- Journal of chemical information and modeling 1064
- Nature communications 1044
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 873
- Journal of medical Internet research 861
- Briefings in bioinformatics 853