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




Sectra Launches Vendor-Neutral Integration for Machine Learning Apps

By MedImaging International staff writers
Posted on 09 Nov 2017
Print article
Sectra AB (Linköping, Sweden), a medical imaging IT and cybersecurity company, is launching vendor-neutral access to machine learning in its enterprise-imaging platform. The company’s customers will be able to utilize Sectra's own machine learning applications as well as virtually any application, irrespective of the vendor. This will give healthcare providers a unified entry point to a best-of-breed portfolio, as well as the freedom of choice and opportunity to speed up access to new innovations.

Sectra is engaged in the development of state-of-the-art machine learning solutions, both in-house and in collaborative settings. The company has a long tradition of providing open platforms with which researchers and specialized vendors can easily integrate. Sectra has adopted a similar strategy in the machine learning area, where it is focusing mainly on applications for increasing the productivity of radiologists and pathologists. The automation of relatively simple but tedious tasks allows considerable time to be redirected to tasks where the human specialist is truly indispensable.

“There are many modern machine learning algorithms that could bring great benefits to diagnostic work, but very few solutions have yet reached clinical routine," says Fredrik Häll, VP Product Management at Sectra Imaging IT Solutions. “A main limitation has been the lack of an effective multi-vendor ecosystem for radiologists to use through a single, unified workplace. The Sectra platform is the missing piece, a solid vendor-neutral foundation.”

Sectra will be showcasing examples of in-house and external machine learning applications available through the platform at the global radiology show, RSNA, in Chicago.

Portable X-ray Unit
AJEX140H
New
Diagnostic Ultrasound System
DC-80A
Ultra-Flat DR Detector
meX+1717SCC
Wall Fixtures
MRI SERIES

Print article

Channels

Radiography

view channel
Image: The new machine algorithm can identify cardiovascular risk at the click of a button (Photo courtesy of Adobe Stock)

Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans

A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more

Nuclear Medicine

view channel
Image: The prostate cancer imaging study aims to reduce the need for biopsies (Photo courtesy of Shutterstock)

New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer

Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.