News | Enterprise Imaging | November 22, 2017

Agfa HealthCare Highlights Augmented Intelligence Partnerships at RSNA 2017

Organically conceived and third-party algorithms embedded within Agfa HealthCare's Enterprise Imaging solution will provide tools to help care providers accelerate overall throughput and screen for critical diseases

Agfa HealthCare Highlights Augmented Intelligence Partnerships at RSNA 2017

November 22, 2017 — Augmented intelligence (also known as artificial intelligence, or AI) and machine learning are fueling innovations in healthcare to address the pressing clinical needs of care providers. At the 2017 Radiological Society of North America annual meeting (RSNA 2017), Nov. 26-Dec. 1 in Chicago, Agfa HealthCare will be demonstrating its latest work-in-progress visions for AI through workflow optimized integration of Agfa HealthCare's Enterprise Imaging solution with products offered by IBM Watson Health, RadLogics and  Mindshare Medical.

Growing populations, chronic disease prevalence, comorbidities and spiraling healthcare costs have generated the demand for AI leveraging cognitive power, for solutions that can manage big data and unstructured clinical content to improve clinical decision-making, clinician productivity and care.

Nadim Michel Daher, Frost & Sullivan analyst explained, "One of the top-of-mind questions the radiology community is wrestling with right now is ‘man versus machine, or man-only versus man plus machine?’" Agfa said it believes the next decade is going to be about the augmented radiologist: the combination of AI with the human intelligence that imaging professionals bring to the table today with their ability to understand the big-picture of a patient and the context of their disease.

According to Nick Spencer, M.D., consultant radiologist, Mid Yorkshire Hospitals NHS Trust, U.K., "Task-based rules within enterprise imaging will help prioritize workflow for radiologists and in escalating urgent cases. Augmented intelligence has the potential to further enhance that flow through triage and sign-posting abnormal findings."

Agfa HealthCare takes the position that the path to realize value from the advances in AI, machine learning and computer-assisted diagnosis is achieved by embedding intelligence in the clinical workflows and by providing clinicians synergistic innovations from industry vendors and care providers. Given the nascent state of AI within healthcare, Agfa HealthCare's approach looks to provide care organizations the ability to realize gains from innovations more quickly and achieve better delivery of care with the workflow-optimized AI solutions.

In addition at RSNA 2017, Agfa will demonstrate another work in progress — organically conceived and third-party algorithms integrated into Agfa HealthCare's Enterprise Imaging solution to help screen for life-threatening diseases such as cancer and tuberculosis.  With these algorithms, healthcare providers will have the ability to view contextual images and optimize screening workflows.

Agfa offers a new white paper on the topic here.

For more information: www.agfahealthcare.com

Related Content

Novel Technique May Significantly Reduce Breast Biopsies
News | Breast Biopsy Systems | January 17, 2019
A novel technique that uses mammography to determine the biological tissue composition of a tumor could help reduce...
Seamless Interoperability – Fact or Fiction? This webinar will show how Nemours Children’s Health System adoption of ScImage’s PICOM365 Enterprise PACS  improved workflow. The product will be highlighted at HIMSS 2019.
Sponsored Content | Webinar | PACS | January 17, 2019
This ScImage-sponsored ITN/DAIC webinar will be held at 2 p.m. Eastern time, Wednesday, Feb. 6, 2019.
NewYork-Presbyterian Hospital Partners With Philips for Health IT and Clinical Informatics
News | Enterprise Imaging | January 16, 2019
Philips announced that NewYork-Presbyterian Hospital has chosen to implement the company’s IntelliSpace Enterprise...
Artificial Intelligence Used in Clinical Practice to Measure Breast Density
News | Artificial Intelligence | January 15, 2019
An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer,...
Sponsored Content | Videos | Artificial Intelligence | January 15, 2019
ITN Contributing Editor Greg Freiherr offers an overview of...
Sponsored Content | Videos | Enterprise Imaging | January 14, 2019
ITN Contributing Editor Greg Freiherr offers an overview of enterprise
Machine Learning Uncovers New Insights Into Human Brain Through fMRI
News | Neuro Imaging | January 11, 2019
An interdisciplinary research team led by scientists from the National University of Singapore (NUS) has successfully...
Videos | Interventional Radiology | January 11, 2019
Julius Chapiro, M.D., research faculty member and an...
AI Approach Outperformed Human Experts in Identifying Cervical Precancer
News | Digital Pathology | January 10, 2019
January 10, 2019 — A research team led by investigators from the National Institutes of Health and Global Good has de
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...