News | Mammography | November 21, 2018

Volpara Solutions Showcases Latest VolparaEnterprise Software Tools at RSNA

Company will show off cloud-based quantitative breast imaging analysis tools, host speaker series

Volpara Solutions Showcases Latest VolparaEnterprise Software Tools at RSNA

November 21, 2018 — Volpara Solutions Inc. will showcase its latest artificial intelligence (AI) updates at the 104th Annual Radiological Society of North America (RSNA) meeting, Nov. 25–30 in Chicago. Its suite of cloud-based quantitative breast imaging analysis tools is designed to help maintain consistent quality in breast screening.

This year, Volpara will launch the VolparaLive! system, mammography's first real-time decision support system at the point of care. The VolparaLive! system automatically analyzes patient positioning and compression to help technologists acquire consistent, high-quality mammograms. One of the key benefits of the system is the cost reduction of fewer technical recalls, made possible by providing technologists with actionable data before the patient leaves the room.

Major improvements to the VolparaEnterprise software will be demonstrated for the first time:

  • A new reporting function for periodic image quality reviews further streamlines Enhancing Quality Using the Inspection Program (EQUIP) compliance and the image quality review process;
  • Users can generate a list of exams based on the VolparaEnterprise quality assessment for periodic image quality reviews, sorting by interpreting physicians and technologists; and
  • The software now features vPGMI, a new image positioning quality standard, according to Volpara.

This year, Volpara will host a distinguished speaker series at RSNA, including:

  • Prof. Jack Cuzick: Volpara and Risk Assessment: Importance of Volumetric Density in TC8
    • Director, Wolfson Institute of Preventive Medicine; Head, Centre for Cancer Prevention and John Snow Professor of Epidemiology, Queen Mary University of London
  • JoAnn Pushkin: Breast Density Legislation and Education – US and Europe
    • Executive Director, DenseBreast-Info.org
  • Prof. Sir Mike Brady: How AI and Machine Learning Can Impact Mammography
    • Professor of Oncological Imaging, University of Oxford
  • Amy Chatten, MPH, Measuring the Impact of Hands-On Technologist Training on Mammographic Image Quality
    • Executive Director, Mammography Educators, LLC

 

For more information: www.volparasolutions.com

Related Content

VolparaDensity With Tyrer-Cuzick Model Improves Breast Cancer Risk Stratification
News | Breast Density | May 22, 2019
Research has demonstrated use of Volpara Solutions' VolparaDensity software in combination with the Tyrer-Cuzick Breast...
Brazil's Santa Casa Hospital System Chooses Carestream for Unified Diagnostic Workflow
News | PACS | May 22, 2019
Santa Casa de Misericordia has selected Carestream to replace its legacy diagnostic workflow technology across all...
Philips Lumify Earns U.S. Army Airworthiness Certification
News | Ultrasound Imaging | May 22, 2019
Philips announced that Philips Lumify, a point-of-care ultrasound device, has earned the U.S. Army Airworthiness...
MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection
Technology | Computer-Aided Detection Software | May 21, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that Accipio Ax will begin shipping in August...
Life Image and Bialogics Analytics Partner to Deliver Imaging Business Intelligence
News | Analytics Software | May 21, 2019
Life Image and business intelligence analytics provider Bialogics Analytics have formed a strategic partnership that...
Partial Breast Irradiation Effective, Convenient Treatment Option for Low-Risk Breast Cancer
News | Radiation Therapy | May 20, 2019
Partial breast irradiation produces similar long-term survival rates and risk for recurrence compared with whole breast...
AI Detects Unsuspected Lung Cancer in Radiology Reports, Augments Clinical Follow-up
News | Artificial Intelligence | May 20, 2019
Digital Reasoning announced results from its automated radiology report analytics research. In a series of experiments...
Videos | Digital Radiography (DR) | May 20, 2019
This is a quick walk-around video showing the ...
Miami Cardiac and Vascular Institute Implements Philips Ingenia Ambition X 1.5T MRI
News | Magnetic Resonance Imaging (MRI) | May 17, 2019
Miami Cardiac & Vascular Institute announced the implementation of Philips’ Ingenia Ambition X 1.5T MR, the world’s...
Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Brain images that have been pre-reviewed by the Viz.AI artificial intelligence software to identify a stroke. The software automatically sends and alert to the attending physician's smartphone with links to the imaging for a final human assessment to help speed the time to diagnosis and treatment. Depending on the type of stroke, quick action is needed to either activate the neuro-interventional lab or to administer tPA. Photo by Dave Fornell.

Feature | Artificial Intelligence | May 17, 2019 | Inga Shugalo
With its increasing role in medical imaging,...