Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease

T Burton, F Fathieh, N Nemati, HR Gillins, IP Shadforth… - Diagnostics, 2024 - mdpi.com
The current standard of care for coronary artery disease (CAD) requires an intake of
radioactive or contrast enhancement dyes, radiation exposure, and stress and may take …

Global trends in coronary artery disease and artificial intelligence relevant studies: a bibliometric analysis.

XT Qi, H Wang, DG Zhu, L Zheng… - … Review for Medical …, 2024 - search.ebscohost.com
OBJECTIVE: Coronary artery disease (CAD) is a major global cause of death, greatly
affecting life expectancy and quality of life for populations. With the advent of artificial …

[HTML][HTML] Machine learning algorithms: selection of appropriate validation populations for cardiology research—Be careful!

WE Sanders Jr, R Khedraki, M Rabbat, TR McMinn… - JACC: Advances, 2023 - jacc.org
Machine learning (ML) and its applications have become an important part of everyday life
as well as medical practice, from retinal scans for airport access to cancer detection in …

Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease

TD Stuckey, FJ Meine, TR McMinn, JP Depta… - Diagnostics, 2024 - mdpi.com
Many clinical studies have shown wide performance variation in tests to identify coronary
artery disease (CAD). Coronary computed tomography angiography (CCTA) has been …