[HTML][HTML] Sex differences in diagnostic modalities of atherosclerosis in the macrocirculation

PLM Kerkhof, F Tona - Atherosclerosis, 2023 - Elsevier
Asymptomatic atherosclerosis begins early in life and may progress in a sex-specific manner
to become the major cause of cardiovascular morbidity and death. As diagnostic tools to …

[HTML][HTML] Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

DB Olawade, N Aderinto, G Olatunji, E Kokori… - Journal of Medicine …, 2024 - Elsevier
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …

Emerging roles of artificial intelligence (AI) in cardiology: benefits and barriers in a 'brave New World'

NK Bart, S Pepe, AT Gregory… - Heart, Lung and …, 2023 - heartlungcirc.org
Nicole K. Bart, MBBS, DPhil, FRACP a, b, c, d, 1,*, Salvatore Pepe, PhD, FAHA, FCSANZ e, f,
1,**, Ann T. Gregory, MBBS, GradCertPopHealth g, A. Robert Denniss, MD, MSc, FCSANZ g …

Immortal time bias: the hidden confounder in assessing cardiosurgical treatment effects

M Diab, N Bonaros, T Doenst - European Heart Journal, 2023 - academic.oup.com
(A) Schematic illustration of the principle of immortal time bias. The grey mortality curve
illustrates an assumption of mortality risk in patients with infective endocarditis while waiting …

Coronary artery calcium: from risk prediction to treatment allocation and clinical trials

SP Whelton, MJ Blaha - Heart, 2023 - heart.bmj.com
Coronary artery calcium (CAC) is a direct measure of an individual's coronary
atherosclerotic burden. Higher levels of CAC are strongly associated with an increased risk …

Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive …

E Stamate, AI Piraianu, OR Ciobotaru, R Crassas… - Diagnostics, 2024 - mdpi.com
Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models

G Guo, L Deng, A Tandon, A Endert… - The 2024 ACM …, 2024 - dl.acm.org
The recent prevalence of publicly accessible, large medical imaging datasets has led to a
proliferation of artificial intelligence (AI) models for cardiovascular image classification and …

Imaging Early Life Cardiovascular Phenotype

V Varadarajan, SS Gidding, C Wu, JJ Carr… - Circulation …, 2023 - Am Heart Assoc
The growing epidemics of obesity, hypertension, and diabetes, in addition to worsening
environmental factors such as air pollution, water scarcity, and climate change, have fueled …

Can Radiomics Help in the Identification of Vulnerable Coronary Plaque?

CN De Cecco, M van Assen - Radiology, 2023 - pubs.rsna.org
Carlo N. De Cecco, MD, PhD, is an associate professor of radiology and biomedical
informatics in the Division of Cardiothoracic Imaging at Emory University and the director of …

Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography

F Pisu, BJ Williamson, V Nardi… - Circulation …, 2024 - Am Heart Assoc
BACKGROUND: This study aimed to develop and validate a computed tomography
angiography based machine learning model that uses plaque composition data and degree …