AIMC Topic: Coronary Artery Disease

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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Scientific reports Apr 26, 2021
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is ...
Databases, Factual Electronic Health Records Female Adult Humans Hospital Mortality Coronary Artery Disease Coronary Vessels Rupture, Spontaneous Male Middle Aged Risk Assessment Deep Learning Models, Cardiovascular
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Machine Learning with F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Apr 23, 2021
Coronary F-sodium fluoride (F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an...
Plaque, Atherosclerotic Sodium Fluoride Computed Tomography Angiography Coronary Artery Disease Myocardial Infarction Fluorine Radioisotopes Humans Male Machine Learning Middle Aged Female Image Processing, Computer-Assisted Aged Positron Emission Tomography Computed Tomography
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Contextual embedding bootstrapped neural network for medical information extraction of coronary artery disease records.

Medical & biological engineering & computing Apr 23, 2021
Coronary artery disease (CAD) is the major cause of human death worldwide. The development of new CAD early diagnosis methods based on medical big data has a great potential to reduce the risk of CAD death. In this process, neural network (NN), as a ...
Electronic Health Records Humans Natural Language Processing Neural Networks, Computer Coronary Artery Disease Information Storage and Retrieval
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Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence.

BioMed research international Apr 9, 2021
The bridge of artificial intelligence to cardiovascular medicine has opened up new avenues for novel diagnostics that may significantly enhance the cardiology care pathway. Cardiac phase space analysis is a noninvasive diagnostic platform that combin...
Female Coronary Artery Disease Humans Male Artificial Intelligence Middle Aged Machine Learning Signal Processing, Computer-Assisted
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Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid-structure interaction models and machine learning methods with patient follow-up data: a feasibility study.

Biomedical engineering online Apr 6, 2021
BACKGROUND: Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuraci...
Humans Ultrasonography, Interventional Coronary Artery Disease Feasibility Studies Plaque, Atherosclerotic Machine Learning Image Processing, Computer-Assisted Follow-Up Studies Tomography, Optical Coherence
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Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease.

Atherosclerosis Mar 29, 2021
BACKGROUND AND AIMS: Although plaque characterization by intravascular ultrasound (IVUS) is important for risk stratification, frame-by-frame analysis of a whole vascular segment is time-consuming. The aim was to develop IVUS-based algorithms for cla...
Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans Deep Learning Coronary Angiography Ultrasonography, Interventional
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Middle Aged Risk Assessment Postoperative Complications Length of Stay Blood Loss, Surgical Blood Transfusion Predictive Value of Tests Coronary Artery Disease Female Humans Risk Factors Aged Machine Learning Male Forecasting Creatinine Coronary Artery Bypass Databases, Factual Linear Models Intraoperative Care Preoperative Period
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Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease.

International journal of cardiology Mar 16, 2021
BACKGROUND: Accurate segmentation of the coronary arteries with intravascular ultrasound (IVUS) is important to optimize coronary stent implantation. Recently, deep learning (DL) methods have been proposed to develop automatic IVUS segmentation. Howe...
Algorithms Reproducibility of Results Humans Coronary Artery Disease Deep Learning Artificial Intelligence Coronary Vessels Ultrasonography, Interventional
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Virtual Transcriptomics: Noninvasive Phenotyping of Atherosclerosis by Decoding Plaque Biology From Computed Tomography Angiography Imaging.

Arteriosclerosis, thrombosis, and vascular biology Mar 11, 2021
[Figure: see text].
Oligonucleotide Array Sequence Analysis Computed Tomography Angiography Humans Male Artificial Intelligence Gene Expression Profiling Phenotype Transcriptome Female Pilot Projects Aged Coronary Artery Disease Feasibility Studies Coronary Vessels Models, Genetic Plaque, Atherosclerotic Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management.

European radiology Feb 25, 2021
OBJECTIVE: This study aims to investigate the safety and feasibility of using a deep learning algorithm to calculate computed tomography angiography-based fractional flow reserve (DL-FFRCT) as an alternative to invasive coronary angiography (ICA) in ...
Coronary Artery Disease Humans Computed Tomography Angiography Retrospective Studies Algorithms Coronary Stenosis Deep Learning Tomography, X-Ray Computed Fractional Flow Reserve, Myocardial Predictive Value of Tests Severity of Illness Index Coronary Angiography Hemodynamics
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