Artificial Intelligence Applications in Cardiac MR Imaging.
Authors
Gomez GV,Denley C,Christia P
Affiliations (2)
Affiliations (2)
- Department of Radiology, NYU Langone School of Medicine, 660 1st Avenue, 4th Floor, New York City, NY 10016, USA. Electronic address: [email protected].
- Department of Radiology, NYU Langone School of Medicine, 660 1st Avenue, 4th Floor, New York City, NY 10016, USA.
Abstract
Cardiovascular disease remains the leading cause of morbidity and mortality worldwide, underscoring the need for accurate, efficient, and widely accessible diagnostic imaging. Cardiac MR imaging (CMR) is considered the reference standard for noninvasive assessment of cardiac morphology, function, tissue characterization, and viability. However, widespread clinical adoption of CMR has been limited by factors such as long acquisition times, the need for specialized technologists, and variability in image interpretation across institutions and readers.
Topics
Artificial IntelligenceMagnetic Resonance ImagingHeartImage Interpretation, Computer-AssistedHeart DiseasesCardiovascular DiseasesJournal ArticleReview