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.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




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
Biopsy Software
Affirm® Contrast
Medical Radiographic X-Ray Machine
TR30N HF
40/80-Slice CT System
uCT 528
Mammography System (Analog)
MAM VENUS

Channels

Nuclear Medicine

view channel
Image: The new tracer, 64Cu-NOTA-EV-F(ab′)2​, targets nectin-4, a protein strongly linked to tumor growth in both TNBC and UBC cancer types. (Wenpeng Huang et al., DOI: 10.2967/jnumed.125.270132)

PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers

Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more

General/Advanced Imaging

view channel
Image: Concept of the photo-thermoresponsive SCNPs (J F Thümmler et al., Commun Chem (2025). DOI: 10.1038/s42004-025-01518-x)

New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents

Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.