News | Artificial Intelligence | February 22, 2017

TeraRecon Demonstrates Deep Learning Workflow at HIMSS17

Prototype WIA Cloud engines learn from physician-driven workflow and improve automation in real-time

TeraRecon, deep learning workflow, HIMSS17, WIA Cloud, machine learning, artificial intelligence

February 22, 2017 — TeraRecon is demonstrating their Within Image Analysis (WIA) Cloud machine learning solution this week at the Healthcare Information & Management Systems Society (HIMSS17) Conference and Exhibition, Feb. 19-24 in Orlando, Fla. WIA Cloud aims to accelerate and automate image interpretation and advanced post-processing tasks using artificial intelligence to eliminate repetitive operator tasks.

WIA Cloud is a platform that can provide access to closed-loop, semi-automated ground-truth machine learning engines and artificial intelligence algorithms. This platform will have the ability to rapidly impact clinical applications and deliver customized workflow enhancements by providing a wide range of artificial intelligence and machine learning engines that identify, categorize and characterize images. The platform will integrate to third-party applications and learn end-user behaviors, all the while allowing physicians to independently validate the macro-level indications of each engine’s output.

In addition, the company announced the full general-availability release of its turbo-performance Volume Pro (VP) CUDA interface layer, readying the platform for nVidia CUDA GPUs and eliminating the need for previously required proprietary hardware. All current and future customers will have the opportunity to affordably upgrade to this new technology, which provides a 400 percent increase in system performance.

Currently, TeraRecon’s iNtuition advanced visualization platform is on display running both VP CUDA and a prototype WIA Cloud engine that suggests image classifications on cardiac magnetic resonance (MR) studies, as well as other engines and features, at HIMSS.

WIA Cloud is currently in development as an application of iNtuition Cloud.

For more information: www.terarecon.com

Related Content

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019. Photo by Greg Freiherr

Feature | Radiology Business | July 22, 2019 | By Greg Freiherr
Efforts to reform healthcare are booming, b
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...
Advances in long-length digital radiography are creating opportunities for visualization during spinal surgery, as well as pre- and post-operatively. Image courtesy of Fujifilm Medical Systems

Advances in long-length digital radiography are creating opportunities for visualization during spinal surgery, as well as pre- and post-operatively. Image courtesy of Fujifilm Medical Systems

Feature | Digital Radiography (DR) | July 19, 2019 | By Greg Freiherr
Recent advances in...
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.