March 18, 2019 — Researchers from the Stanford University School of Medicine presented preliminary results of the...
ACC
This channel contains news about the American College of Cardiology (ACC), including coverage of its annual meeting and links to recently released practice guidelines. The ACC is a leading resource for cardiology professionals, including all its subspecialties.
Jennifer N. A. Silva, M.D., a pediatric cardiologist at Washington University School of Medicine in Saint Louis, Mo., describes “mixed reality” at ACC19 Future Hub.
Feature | Cardiac Imaging | March 17, 2019 | By Greg Freiherr
Virtual reality (VR) and its less immersive kin, augmented reality (AR), are gaining traction in some medical...
WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography. Photo by Greg Freiherr
Feature | Cardiac Imaging | March 16, 2019 | By Greg Freiherr
Machine learning is already having an enormous impact on cardiology, automatically calculating measurements in...
Sponsored Content
An example of the new generation of inexpensive, wearable cardiac monitors that are seeing increased usage. This is the Cardiac Insight Cardea Solo device. After the monitoring period is over, the wearable patch is torn open to retrieve a data pod that is inserted into a reader to download the data. The software automatically creates reports based on the data, complete with waveforms for various cardiac measures.
Blog | Cardiac Diagnostics | May 10, 2018
Technology | Cardiac Resynchronization Therapy Devices (CRT) | March 15, 2019
March 15, 2019 – Biotronik announced U.S. Food and Drug Administration (FDA) approval of the Acticor and Rivacor...
News | Heart Valve Technology | March 14, 2019
March 14, 2019 — Beginning in mid-2019, hospitals performing...
News | Computed Tomography (CT) | March 14, 2019
March 14, 2019 — Siemens Healthineers will introduce the Somatom go.Top Cardiovascular Edition, a new version of its...
Feature | Heart Valve Technology | March 14, 2019 | Jeff Zagoudis, Associate Editor
March 14, 2019 — The U.S. Food and Drug Administration (FDA) approved the MitraClip...
Collage depicts broad applications in machine learning or deep learning (DL) that can be applied to advanced medical imaging technologies. Size of the liver and its fat fraction — 22 percent — (top middle in collage) can be quantified automatically using an algorithm developed by Dr. Albert Hsiao and his team at the University of California San Diego. This and other information that might be mined by DL algorithms from CT and MR images could help personalize patients’ treatment. Collage provided by Albert Hsiao
Feature | Cardiac Imaging | March 12, 2019 | By Greg Freiherr
Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used...
Podcast | Cardiac Imaging | March 12, 2019
Smart algorithms could make cardiology “more fun and less burdensome,” said ...
Technology | Wearables | March 05, 2019
March 5, 2019 — Connected healthcare solutions provider VivaLNK announced its internet of things (IoT)-enabled...
