Artificial Intelligence for Cardiovascular Care—Part 1: Advances: JACC Review Topic of the Week

P Elias, SS Jain, T Poterucha, M Randazzo… - Journal of the American …, 2024 - jacc.org
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …

Advancing cardiovascular medicine with machine learning: Progress, potential, and perspective

JP Barrios, GH Tison - Cell Reports Medicine, 2022 - cell.com
Recent advances in machine learning (ML) have made it possible to analyze high-
dimensional and complex data—such as free text, images, waveforms, videos, and sound …

Evaluation of stenoses using AI video models applied to coronary angiography

É Labrecque Langlais, D Corbin, O Tastet… - npj Digital …, 2024 - nature.com
The coronary angiogram is the gold standard for evaluating the severity of coronary artery
disease stenoses. Presently, the assessment is conducted visually by cardiologists, a …

Vision Transformer in stenosis detection of coronary arteries

M Jungiewicz, P Jastrzębski, P Wawryka… - Expert Systems with …, 2023 - Elsevier
About 380 thousand people in the United States die each year because of coronary artery
disease. About 2 in 10 deaths from CAD happen in adults less than 65 years old. Early …

Artificial intelligence in cardiovascular clinical trials

JW Cunningham, WT Abraham, AS Bhatt… - Journal of the American …, 2024 - jacc.org
Randomized clinical trials are the gold standard for establishing the efficacy and safety of
cardiovascular therapies. However, current pivotal trials are expensive, lengthy, and …

Implementing machine learning in interventional cardiology: the benefits are worth the trouble

W Ben Ali, A Pesaranghader, R Avram… - Frontiers in …, 2021 - frontiersin.org
Driven by recent innovations and technological progress, the increasing quality and amount
of biomedical data coupled with the advances in computing power allowed for much …

Novel artificial intelligence applications in cardiology: current landscape, limitations, and the road to real-world applications

ÉL Langlais, P Thériault-Lauzier… - Journal of …, 2023 - Springer
Cardiovascular diseases are the leading cause of death globally and contribute significantly
to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using …

Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data

A Koloi, VS Loukas, C Hourican… - … Heart Journal-Digital …, 2024 - academic.oup.com
Aims Coronary artery disease (CAD) is a highly prevalent disease with modifiable risk
factors. In patients with suspected obstructive CAD, evaluating the pre-test probability model …

Machine Learning and Bias in Medical Imaging: Opportunities and Challenges

A Vrudhula, AC Kwan, D Ouyang… - Circulation …, 2024 - Am Heart Assoc
Bias in health care has been well documented and results in disparate and worsened
outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient …

The evolving role of artificial intelligence in cardiac image analysis

PT Lauzier, R Avram, D Dey, P Slomka, J Afilalo… - Canadian Journal of …, 2022 - Elsevier
Research in artificial intelligence (AI) has progressed over the past decade. The field of
cardiac imaging has seen significant developments using newly developed deep learning …