AIMC Topic: Cardiovascular System
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Application and Translation of Artificial Intelligence to Cardiovascular Imaging in Nuclear Medicine and Noncontrast CT.
Seminars in nuclear medicine
May 20, 2020
Myocardial perfusion imaging with single photon emission computed tomography or positron emission tomography is commonly used for diagnosis and risk stratification in patients with known or suspected coronary artery disease. Current scanners often in...
Artificial Intelligence: From Scientific Curiosity to Clinical Precocity?
JACC. Cardiovascular imaging
Nov 13, 2019
Transfer learning for classification of cardiovascular tissues in histological images.
Computer methods and programs in biomedicine
Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Modeling the control of the central nervous system over the cardiovascular system using support vector machines.
Computers in biology and medicine
Dec 15, 2017
The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled using different techniques, such as fuzzy inductive reasoning, genetic fuzzy systems, neural networks, and nonlinear autoregressive techniques; the r...
Increased Cardiovascular Risk in Patients with Adrenal Insufficiency: A Short Review.
BioMed research international
Dec 10, 2017
Cardiovascular disease (CVD) is the most common cause of death in the world. Recent studies have shown an association between adrenal insufficiency (AI) and increased cardiovascular risk (CVR). Patients with AI receive glucocorticoid (GC) replacement...
A corpus of potentially contradictory research claims from cardiovascular research abstracts.
Journal of biomedical semantics
Jun 7, 2016
BACKGROUND: Research literature in biomedicine and related fields contains a huge number of claims, such as the effectiveness of treatments. These claims are not always consistent and may even contradict each other. Being able to identify contradicto...
Learning temporal rules to forecast instability in continuously monitored patients.
Journal of the American Medical Informatics Association : JAMIA
Jun 6, 2016
Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, such as market basket analysis, disease prognosis, fraud detection, and protein sequencing. The appea...
Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.
Computer methods and programs in biomedicine
Dec 30, 2015
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...
Artificial Intelligence, Bob Dylan, and Cardiovascular Scholarship.
Journal of the American College of Cardiology
Aug 29, 2023
Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.
European heart journal
Mar 1, 2023
Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides clinicians and researchers with a step-wise foundation for high-value AI that can be applied to a variety of different data modalities. The aim is to imp...
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