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Industry News

Image: The MobileDaRt Evolution MX8 version digital mobile X-ray system (Photo courtesy of Shimadzu).

Shimadzu Releases Digital Mobile X-ray System

Diagnostic imaging equipment manufacturer, Shimadzu Corporation (Kyoto, Japan) has released the new MobileDaRt Evolution MX8 version digital mobile X-ray system, which features the company’s first telescoping support column for increasingly convenient drivability and improved forward visibility. Designed to provide multi-faceted support, the MX8 also a features a large completely flat monitor screen, a lockable Flat Panel Detector (FPD) housing compartment, an extensive selection of options and improved operability. More...
01 Mar 2018
Image: The software engine named Transpara DBT is intended to assist radiologists in reading digital breast tomosynthesis and mammography exams (Photo courtesy of ScreenPoint Medical).

AI-Driven Software Assists Radiologists in Reading Exams

An Artificial Intelligence (AI)-driven decision support software engine, which assists radiologists in reading digital breast tomosynthesis (DBT) and mammography exams on breast-reading workstations, was launched at the European Congress of Radiology (ECR), Vienna, Austria, February 28 – March 4, 2018. The software engine named Transpara DBT was launched by ScreenPoint Medical, which develops and markets image analysis technology and services for automated reading of mammograms and digital breast tomosynthesis exams, exploiting Big Data, Deep Learning and the latest developments in AI. More...
01 Mar 2018
Radcal
Image: When Oncology AI is used in combination with the company’s web-based offering, clinicians can measure and track tumors or potential cancers and apply radiological standards (Photo courtesy of Arterys).

AI Oncology Imaging Suite Gains FDA Clearance

Arterys Inc., a provider of intelligent cloud-based medical imaging software solutions, has received its fifth 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its Arterys Oncology AI suite. More...
27 Feb 2018

AI Applications Predict Part Failures in Imaging Modalities

Machine data analytics company, Glassbeam, Inc. has built Artificial Intelligence (AI) applications powered by Machine Learning (ML) models for predicting part failures in expensive imaging modalities. The new applications delivered in real time through cloud-based dashboards and rules-based alerts are expected to change the way equipment maintenance is currently performed by in-house support staff at healthcare providers, independent service organizations (ISOs), and OEMs. More...
23 Feb 2018
Image: The Viz.AI Contact triage software uses an AI algorithm to analyze images for indicators associated with a stroke (Photo courtesy of Viz.ai).

Stroke Detection Software Receives FDA Clearance

The US FDA has approved a new clinical decision support software that notifies neurologists about a potential stroke in their patients by analyzing computed tomography (CT) results. The tool named Contact has been developed by Viz.ai, a direct-to-intervention healthcare company that uses artificial intelligence (AI) and deep learning algorithms to analyze medical data and improve medical workflow. More...
21 Feb 2018

AI in Medical Imaging to Surge in Coming Years

The use of machine learning or artificial intelligence (AI) technology by hospitals and imaging centers is expected to surge by 2020, with its highest application to be in the area of breast imaging. More...
21 Feb 2018

New Deep Learning-Based Algorithm Can Assess Breast Density

Researchers from the University of Pittsburgh Medical Center have developed a new deep learning-based algorithm for breast density segmentation and estimation that correlated well with BI-RADS density assessments by radiologists and also outperformed an existing state-of-the-art algorithm. More...
21 Feb 2018
New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Diagnostic Ultrasound System
MS1700C
New
Gold Member
X-Ray QA Meter
T3 RG Pro
Portable Color Doppler Ultrasound Scanner
DCU10


MedImaging Industry News channel updates the reader on mergers and takeovers, on cooperative agreements and on trends in the healthcare imaging industry worldwide.