Technology | Remote Viewing Systems | November 15, 2017

Calgary Scientific Demonstrates ResolutionMD With AI Support

Latest version of viewing platform adds patient-centric, hospital-wide imaging capabilities, and new cloud-based managed services for high reliability and uptime

Calgary Scientific Demonstrates ResolutionMD With AI Support

November 15, 2017 — Calgary Scientific announced advancements to its ResolutionMD enterprise viewing platform for improved image and data access, collaboration and diagnosis. The company will showcase the latest capabilities at the 2017 Radiological Society of North America (RSNA) conference, Nov. 26-Dec. 1 in Chicago.  

Enhancements include:

  • Support for artificial intelligence (AI)-based visual analysis, learning and interactivity. ResolutionMD can be seamlessly integrated with third-party AI visual learning systems, enabling faster analysis and improved clinical decision making;
  • Comprehensive patient-centric, hospital-wide access and viewing. With the latest release, ResolutionMD offers the broadest approach to non-DICOM integration, which allows hospitals to seamlessly view DICOM and non-DICOM images and reports, with new native support for cross-enterprise document sharing for imaging (XDS). This complements existing electronic health records (EHR)/electronic medical records (EMRs), and enables better patient-centric viewing across all departments in the healthcare enterprise, all within ResolutionMD; and
  • Cloud-based analytics to manage viewer deployments and increase reliability.  ResolutionMD Managed Services increase operational awareness and provide proactive support of on-premise or cloud deployments. With rich reporting and analytics overseen by a team of experts, hospital systems get premium enterprise viewer monitoring to increase reliability and uptime, and lower the cost of ownership.

"ResolutionMD is a leading industry provider for secure and scalable enterprise viewing solutions, and now with its new support for AI-based visual analysis and managed services, together with improved patient-centric, hospital-wide access and viewing," said Frost & Sullivan Industry Analyst Dinesh Kumar. "Calgary Scientific is ideally positioned to make the most of healthcare shifts and mega trends such as enterprise informatics, artificial intelligence and big data analytics."

“We are excited about the direction of Calgary Scientific and its ResolutionMD platform enabling AI-systems to connect with image data. Their zero-footprint enterprise viewer is an excellent match for our deep learning-enabled diagnostics,” said Rob Russell, co-founder of, provider of deep learning solutions for radiology. “We look forward to working together to visualize and enable better clinical outcomes and improved quality of care, while also maintaining secure access across the healthcare enterprise.”

For more information:

Related Content

Artificial Intelligence Used in Clinical Practice to Measure Breast Density
News | Artificial Intelligence | January 15, 2019
An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer,...
Sponsored Content | Videos | Artificial Intelligence | January 15, 2019
ITN Contributing Editor Greg Freiherr offers an overview of...
Sponsored Content | Videos | Enterprise Imaging | January 14, 2019
ITN Contributing Editor Greg Freiherr offers an overview of enterprise
Machine Learning Uncovers New Insights Into Human Brain Through fMRI
News | Neuro Imaging | January 11, 2019
An interdisciplinary research team led by scientists from the National University of Singapore (NUS) has successfully...
Videos | Interventional Radiology | January 11, 2019
Julius Chapiro, M.D., research faculty member and an...
AI Approach Outperformed Human Experts in Identifying Cervical Precancer
News | Digital Pathology | January 10, 2019
January 10, 2019 — A research team led by investigators from the National Institutes of Health and Global Good has de
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...
Sponsored Content | Videos | Digital Radiography (DR) | January 10, 2019
ITN Contributing Editor Greg Freiherr discusses how advances in digital technology are giving new meaning to the term...
Pacific Northwest VA Network Selects Carestream as Enterprise PACS Supplier
News | PACS | January 08, 2019
Carestream has been awarded a multimillion-dollar healthcare information technology (IT) contract for Veterans Affairs...
Artificial Intelligence Pinpoints Nine Different Abnormalities in Head Scans

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the tool. Image courtesy of Nature Medicine.

News | Artificial Intelligence | January 07, 2019
The rise in the use of computed tomography (CT) scans in U.S. emergency rooms has been a well-documented trend1 in...