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

Agfa Healthcare

Provides integrated IT solutions, state-of-the-art diagnostic imaging and contrast media solutions for hospitals and ... read more Featured Products: More products

Download Mobile App





Agfa Brings Intelligent Radiography to RSNA 2018

By MedImaging International staff writers
Posted on 26 Nov 2018
Print article
Image: Agfa-Gevaert NV demonstrated its purpose-built Enterprise Imaging platform with advanced clinical applications at RSNA 2018 (Photo courtesy of Agfa-Gevaert).
Image: Agfa-Gevaert NV demonstrated its purpose-built Enterprise Imaging platform with advanced clinical applications at RSNA 2018 (Photo courtesy of Agfa-Gevaert).
At RSNA 2018, Agfa-Gevaert NV (Mortsel, Belgium) demonstrated its purpose-built Enterprise Imaging platform with advanced clinical applications that brings radiologists to the forefront with confident decision-making, and improved delivery of patient care. The company demonstrated developments in progress to its Enterprise Imaging platform, previewing how it will serve as the foundation to enable machine learning and evidence-based AI enabling task-based workflow automation, image analysis and predictive analytics.

The Enterprise Imaging platform removes traditional barriers to medical imaging, enables multi-specialty care team collaboration and enhanced cross-platform mobility. With embedded advanced applications and AI, Agfa's Enterprise Imaging solution will provide radiologists with additional information for decision-making, speedy access to results and analytics helping significantly improve the patient's care journey and satisfaction, as well as the organization's clinical, operational and financial well-being.

With the task-based rules engine, the aggregation of both imaging and non-imaging data from disparate healthcare information systems, and strong collaboration tools, radiologists can more efficiently make evidence-based decisions and recommendations, and play an enhanced role as consultant for physicians and patients. An approach to precision medicine, analytical intelligence and aggregation of imaging and non-imaging data at the Radiology Desktop will offer patient-centered personalized care delivery, based on analysis of outcomes of similar patient population and data sets.

"Whether detecting cancers or treating chronic diseases, machine learning and advanced analytics will help radiologists and diagnosticians focus less on manual tasks and more on improving care pathways," said Dr. Anjum Ahmed, Global Director Imaging Information Systems at Agfa HealthCare. "Agfa HealthCare's enhancements to the Enterprise Imaging platform, currently in development, will serve as the foundation to enable machine learning and evidence-based augmented intelligence. Unlike AI, which tries to replace human intelligence, augmented intelligence works with and amplifies human intelligence."

"The platform will serve as the intersection of machine learning and advanced applications, where clinical knowledge and medical data converge on a single platform. The potential benefits of augmented intelligence are realized when it is used in the context of workflows and systems that healthcare practitioners operate and interact with, hence introducing efficiencies," added Ahmed.

New
Mobile X-Ray Machine
MARS 15 / 30
Portable X-ray Unit
AJEX140H
New
Post-Processing Imaging System
DynaCAD Prostate
3T MRI Scanner
MAGNETOM Cima.X

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

MRI

view channel
Image: In brains of control mice (left) and PD mice (right), from bottom to top: neuronal activity in a representative animal (Photo courtesy of Ruxanda Lungu/FC)

Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable

Parkinson's disease (PD) remains a challenging condition to treat, with no known cure. Though therapies have improved over time, and ongoing research focuses on methods to slow or alter the disease’s progression,... Read more

Nuclear Medicine

view channel
Image: In vivo imaging of U-87 MG xenograft model with varying mass doses of 89Zr-labeled KLG-3 or isotype control (Photo courtesy of L Gajecki et al.; doi.org/10.2967/jnumed.124.268762)

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... 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.