Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting …
which is a subset of AI wherein machines autonomously acquire information by extracting …
Artificial intelligence in cardiology: Hope for the future and power for the present
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …
the pressures for improved care and translation of the latest medical advances and …
[HTML][HTML] CT evaluation by artificial intelligence for atherosclerosis, stenosis and vascular morphology(CLARIFY): a multi-center, international study
Background Atherosclerosis evaluation by coronary computed tomography angiography
(CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming …
(CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming …
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography …
Aims Symptom-based pretest probability scores that estimate the likelihood of obstructive
coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to …
coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to …
Artificial intelligence, machine learning, and cardiovascular disease
P Mathur, S Srivastava, X Xu… - Clinical Medicine …, 2020 - journals.sagepub.com
Artificial intelligence (AI)-based applications have found widespread applications in many
fields of science, technology, and medicine. The use of enhanced computing power of …
fields of science, technology, and medicine. The use of enhanced computing power of …
Myocardial infarction associates with a distinct pericoronary adipose tissue radiomic phenotype: a prospective case-control study
Objectives This study sought to determine whether coronary computed tomography
angiography (CCTA)-based radiomic analysis of pericoronary adipose tissue (PCAT) could …
angiography (CCTA)-based radiomic analysis of pericoronary adipose tissue (PCAT) could …
Long-COVID diagnosis: From diagnostic to advanced AI-driven models
SARS-COV 2 is recognized to be responsible for a multi-organ syndrome. In most patients,
symptoms are mild. However, in certain subjects, COVID-19 tends to progress more …
symptoms are mild. However, in certain subjects, COVID-19 tends to progress more …
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a …
F Commandeur, PJ Slomka, M Goeller… - Cardiovascular …, 2020 - academic.oup.com
Aims Our aim was to evaluate the performance of machine learning (ML), integrating clinical
parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue …
parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue …
Artificial intelligence in cardiac radiology
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its
implementation will be focused on the automatization tasks, improving diagnostic accuracy …
implementation will be focused on the automatization tasks, improving diagnostic accuracy …
Artificial intelligence and machine learning in radiology: current state and considerations for routine clinical implementation
Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …
last decade, the field of radiology has seen tremendous innovation and also public focus …