Conference Coverage

WVU cardiology chief Partho Sengupta, M.D., describes at ACC 2019 how artificial intelligence already helps cardiologists in echocardiography.

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...

Fujifilm Launches Three New Software Tools for Aspire Cristalle Digital Mammography System
Technology | Mammography | March 15, 2019

March 15, 2019 — Fujifilm Medical Systems USA announced it has fulfilled all U.S. Food and Drug Administration (FDA...

Sponsored Content | Videos | Enterprise Imaging | March 15, 2019

As a VNA, GE Healthcare...

Podcast | Cardiac Imaging | March 15, 2019

As a noninvasive technology, ...

Canon Medical Introduces Entry-Level Aquilion Start CT
News | Computed Tomography (CT) | March 14, 2019

March 14, 2019 — Canon Medical Systems Europe B.V. introduced the all-new Aquilion Start...

Siemens Healthineers Debuts Cardiovascular Edition of Somatom go.Top CT
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...

What to Expect from the Proton Therapy Market in 2019-2020
News | Proton Therapy | March 13, 2019

March 13, 2019 — The number of new particle therapy rooms ordered worldwide dropped by almost 20 percent in 2018,...

Esaote Introduces MyLab X8 Ultrasound Platform
News | Ultrasound Imaging | March 13, 2019

March 13, 2019 – Esaote announced the launch of MyLab X8, a high-performance, versatile...

Sponsored Content | Videos | Artificial Intelligence | March 13, 2019

At RSNA 2018, iCad showed how its...

Iron Measurements With MRI Reveal Stroke's Impact on Brain

Images show illustrative examples of visual R2? modifications within substantia nigra (SN) at baseline (24-72 h) and follow-up (1 y) in striatum (participants 1 and 2) and control groups (participants 3 and 4). Image courtesy of the Radiological Society of North America (RSNA).

News | Stroke | March 12, 2019

March 12, 2019 — A simple...

Podcast | Cardiac Imaging | March 12, 2019

Smart algorithms could make cardiology “more fun and less burdensome,” said...

Collage provided by Albert Hsiao

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 11, 2019 | By Greg Freiherr

Computed tomography (CT) and magnetic resonance imaging (MRI) scans are chock full of information that might be used...

Mississippi Cancer Center Combines RayStation and TomoTherapy for Prostate Cancer Case
News | Treatment Planning | March 08, 2019

March 8, 2019 — Anderson Regional Cancer Center in Meridian, Miss., has treated its first patient using the...

Hologic Earns CE Mark for LOCalizer Wireless Breast Lesion Localization System
News | Breast Imaging | March 07, 2019

March 7, 2019 — Hologic Inc. announced the granting of a CE Mark to the LOCalizer wireless radio frequency...

Siemens Healthineers Announces First U.S. Install of Biograph Vision PET/CT
News | PET-CT | March 06, 2019

March 5, 2019 — Siemens Healthineers’ new Biograph Vision...