We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Comprehensive New Diagnostic Technology Research Partnership Announced

By MedImaging International staff writers
Posted on 11 Jul 2016
A comprehensive agreement for research collaboration on Artificial Intelligence (AI) applications for emergency stroke care applications has been announced.

The AI and deep learning applications will be trained using medical imaging and anonymized patient data from hospital Electronic Medical Record (EMR) systems. The applications will use data archives from all major modalities.

MedyMatch Technology (Andover, MA, USA), a data analytics healthcare company announced the partnership with Capital Health (Pennington, NJ, USA). MedyMatch Technology uses artificial intelligence and cognitive analytics to create real-time decision support tools for use in emergency medicine. The goal of the partnership is to develop a decision support tool to improve outcomes for stroke patients. MedyMatch Technology also announced that this is the first in a series of planned partnerships in the US.

Gene Saragnese, chairman and CEO of MedyMatch Technology, said, "MedyMatch is excited to be working with a leading institution like Capital Health which offers advanced radiology services that help support the critical diagnostics needed for its comprehensive stroke center. True innovation in healthcare only comes from the close collaboration between industry and world-class clinicians. Our partnership with Capital Health brings together breakthrough technology in deep learning and clinical expertise that will accelerate the transformation we all desire in healthcare, better care at lower cost. Having access to an archive of anonymized medical imaging data, and understanding the patient outcomes, represents an unprecedented opportunity for the MedyMatch artificial intelligence to self-learn, auto label and tag, hundreds of diseases."

Related Links:
MedyMatch Technology
Capital Health

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Remote Controlled Digital Radiography and Fluoroscopy System
Eco Track-DRF - MARS 50/MARS50+/MARS 65/MARS 80
New
Wireless Handheld Ultrasound System
TE Air
New
Enterprise Imaging & Reporting Solution
Syngo Carbon

Latest Imaging IT News

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process