As coronary CT angiography (CCTA) continues its rapid expansion, scanner vendors are now offering more economical solutions to ensure access to imaging technology beyond premium systems most often only found at flagship hospitals and academic centers. To conquer CCTA’s technical challenges, new technologies and AI are being incorporated into a new scanner to simplify acquisition and consistently improve image quality.
Exposure to scatter radiation and orthopedic issues related to years of wearing lead aprons during long EP procedures has led electrophysiologists to seek out new ways to reduce the need for angiographic X-ray.
Advancements in radiofrequency (RF) catheter ablation technology have been incremental over the past 30 years in efforts to improve safety, procedural efficiency and patient outcomes. While some newer technologies have gained a lot of attention in electrophysiology (EP) over the past several years, RF remains the solid frontline treatment.
"The onus is on us as cardiologists to make sure we offer the very best possible devices for our patients with the available data that we have," interventional cardiologist Anene Ukaigwe, MD, explained.
Women with cardiovascular disease are consistently underdiagnosed and undertreated compared to men, and those disparities are true for aortic stenosis as well. Women with symptomatic severe AS are up to 35% less likely than men to undergo aortic valve replacement, for example, and they often have to wait longer just to be referred for further care.
A new project is seeking to make MRI scans up to 10 times faster by capturing less data. NYU’s Center for Advanced Imaging Innovation and Research (CAI2R) is working with the Facebook Artificial Intelligence Research group to “train artificial neural networks to recognize the underlying structure of the images to fill in views omitted from the accelerated scan.”
Machine learning is one of the hottest topics in radiology and all of healthcare, but reading the latest and greatest ML research can be difficult, even for experienced medical professionals. A new analysis written by a team at Northern Ireland’s Belfast City Hospital and published in the American Journal of Roentgenology was written with that very problem in mind.
Medical imaging is in a big battle with big data. There’s too much data in too many locations, and most often they are not well managed. Data are clearly imaging’s most abundant yet most underutilized strategic asset.
Like every American academic healthcare institution, SUNY Downstate Medical Center in Brooklyn, N.Y., is a beehive of activity in three overlapping yet distinct areas of focus—patient care, physician education and medical research.
Bill Lacy, vice president of medical informatics at FUJIFILM Medical Systems U.S.A., spoke with Radiology Business about AI’s impact on radiologist workflow and what the company has planned for HIMSS19.
