Results 21 to 30 of about 7,242,732 (67)

Radioiodination and biological evaluation of irbesartan as a tracer for cardiac imaging

Radiochimica Acta, 2020
Irbesartan was labeled using 125I or 131I with N-bromosuccinimide (NBS) as an oxidizing agent. A lot of operators such as, quantity of substrate, the quantity of oxidizing agent, reaction temperature, reaction time, and pH of reaction medium were studied
M. Sanad, F. Marzook, S. M. Abd-elhaliem
semanticscholar   +1 more source

Artificial Intelligence for Cardiac Imaging-Genetics Research

Frontiers in Cardiovascular Medicine, 2020
Cardiovascular conditions remain the leading cause of mortality and morbidity worldwide, with genotype being a significant influence on disease risk.
A. de Marvao, T. Dawes, D. O’Regan
semanticscholar   +1 more source

Cardiac Imaging After Ischemic Stroke or Transient Ischemic Attack

Current Neurology and Neuroscience Reports, 2020
Purpose of Review Cardiac imaging after ischemic stroke or transient ischemic attack (TIA) is used to identify potential sources of cardioembolism, to classify stroke etiology leading to changes in secondary stroke prevention, and to detect frequent ...
S. Camen, K. Haeusler, R. Schnabel
semanticscholar   +1 more source

Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy

Frontiers in Cardiovascular Medicine, 2020
In many cardiovascular pathologies, the shape and motion of the heart provide important clues to understanding the mechanisms of the disease and how it progresses over time.
K. Gilbert, C. Mauger, A. Young, Avan Suinesiaputra   +3 more
semanticscholar   +1 more source

Evaluation for Myocarditis in Competitive Student Athletes Recovering From Coronavirus Disease 2019 With Cardiac Magnetic Resonance Imaging.

JAMA cardiology, 2021
Importance The utility of cardiac magnetic resonance imaging (MRI) as a screening tool for myocarditis in competitive student athletes returning to training after recovering from coronavirus disease 2019 (COVID-19) infection is unknown.
Jitka Starekova, D. Bluemke, W. Bradham, L. Eckhardt, T. Grist, J. Kusmirek, Christopher Purtell, M. Schiebler, S. Reeder   +8 more
semanticscholar   +1 more source

Artificial Intelligence Will Transform Cardiac Imaging—Opportunities and Challenges

Frontiers in Cardiovascular Medicine, 2019
Artificial intelligence (AI) using machine learning techniques will change healthcare as we know it. While healthcare AI applications are currently trailing behind popular AI applications, such as personalized web-based advertising, the pace of research ...
Steffen Erhard Petersen, M. Abdulkareem, T. Leiner   +2 more
semanticscholar   +1 more source

Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review

Clinical Cardiology
Technological advancements in artificial intelligence (AI) are redefining cardiac imaging by providing advanced tools for analyzing complex health data.
O. Tolu-Akinnawo, Francis Ezekwueme, O. Omolayo, Sasha Batheja, Toluwalase Awoyemi   +4 more
semanticscholar   +1 more source

Trends in the Use of Cardiac Imaging for Patients With Heart Failure in Canada

JAMA Network Open, 2019
Key Points Question What is the rate of use and what are the costs of different cardiac imaging modalities used to examine patients with heart failure in Canada?
Juarez R. Braga, H. Leong-Poi, V. Rac, P. Austin, H. Ross, Douglas S. Lee   +5 more
semanticscholar   +1 more source

Cardiac imaging after ischemic stroke

Herz, 2019
About 20–25% of all ischemic strokes are of cardioembolic etiology, with atrial fibrillation and heart failure as the most common underlying pathologies.
S. Camen, K. Haeusler, M.Sc. R. B. Schnabel MD   +2 more
semanticscholar   +1 more source

Artificial Intelligence in Cardiac Imaging

US Cardiology Review, 2019
Machine learning (ML), a subset of artificial intelligence, is showing promising results in cardiology, especially in cardiac imaging. ML algorithms are allowing cardiologists to explore new opportunities and make discoveries not seen with conventional ...
K. Seetharam, S. Shrestha, P. Sengupta
semanticscholar   +1 more source