News | Artificial Intelligence | December 04, 2017

Change Healthcare and Zebra Medical Vision Bring Artificial Intelligence to Medical Imaging

Pragmatic solutions to help automate radiology reading workflow and improve insights for imaging specialists

Change Healthcare and Zebra Medical Vision Bring Artificial Intelligence to Medical Imaging

December 4, 2017 — Change Healthcare and Zebra Medical Vision announced an agreement to create solutions that deliver artificial intelligence solutions to complex radiology reporting environments. Change Healthcare's radiology solutions, along with Zebra Medical Vision's algorithms, will benefit radiologists and other imaging specialists by improving the efficiency of routine tasks and the effectiveness of workflow in the radiologist reading environment.

By working together on the pragmatic integration of artificial intelligence algorithms into radiology solutions, Change Healthcare and Zebra Medical Vision are innovating to transform the radiology readflow environment, according to the companies. In parallel, Change Healthcare will continue to work closely with its forum of clinical and academic leaders on leveraging the integral insights inherent in imaging and clinical information so that solutions developed help imaging specialists identify critical conditions more quickly.

For more information: www.changehealthcare.com, www.zebra-med.com

Related Content

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017.

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.

Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer...
Paragon Biosciences Launches Qlarity Imaging to Advance FDA-cleared AI Breast Cancer Diagnosis System

Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire.

Technology | Artificial Intelligence | July 18, 2019
Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC, which was founded...
Johns Hopkins Named Qualified Provider-led Entity to Develop Criteria for Diagnostic Imaging
News | Clinical Decision Support | July 18, 2019
On June 30, 2019, the Centers for Medicare & Medicaid Services (CMS) announced the Johns Hopkins University School...
Anatomage Releases Anatomage Cloud Platform
News | Remote Viewing Systems | July 16, 2019
Anatomage Inc. released an update to the Anatomage Cloud platform that allows medical and dental professionals to...
Graphic courtesy Pixabay

Graphic courtesy Pixabay

Feature | Artificial Intelligence | July 15, 2019 | By Greg Freiherr
Siemens has long focused on automation as a way to make diagnostic equipment faster and more efficient.
Videos | Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by...
Videos | Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado Scho
FDA Clears Koios DS Breast 2.0 AI-based Software
News | Ultrasound Women's Health | July 11, 2019
Koios Medical announced its second 510(k) clearance from the U.S. Food and Drug Administration (FDA).
SimonMed Imaging Implements ProFound AI for 3-D Tomosynthesis
News | Mammography | July 10, 2019
Arizona-based SimonMed Imaging announced their implementation of the first U.S. Food and Drug Administration (FDA)-...