News | Artificial Intelligence | October 16, 2017

Sectra Surveys Radiologists on Value of Machine Learning

Using a prostate cancer case example, a survey of radiologists reveals more opportunities than threats

Sectra Surveys Radiologists on Value of Machine Learning

October 16, 2017 — A new report from medical imaging information technology (IT) and cybersecurity company Sectra shows in what areas of the diagnostic process radiologists themselves see the added value of machine learning. The report clearly shows more opportunities than threats.

Artificial intelligence (AI) and machine learning are set to disrupt the practice of radiology. How and to what extent, we do not yet fully know. However, rather than stop training radiologists and start replacing them as a few suggest, Sectra and many others consider machine learning to be a technology that can support radiologists in their daily work, providing increased efficiency and quality of care. But what does this combination of radiologists and machine learning look like? Who is in the driver’s seat and when?

Using a case of prostate cancer as a clinical example, Sectra asked radiologists in three of its key markets (Scandinavia, Benelux, and the United States) for their perspectives on machine learning in radiology. What do radiologists think are the right tasks for machine learning applications? Where on a scale between supportive workflow-related tasks and making diagnostic decisions do radiologists see a value in machine learning applications? And can the results from machine learning algorithms be trusted?

The radiologists participating in the survey were told a story describing a future workflow scenario focused on reading multiparametric magnetic resonance imaging (mp-MRI) of the prostate. Machine learning is used throughout the story to support the radiologists in their work. The radiologists were presented with several statements concerning the use of machine learning, and their responses to these statements are presented in the report.

The full report can be downloaded here for free.

For more information: www.sectra.com

Related Artificial Intelligence Content

VIDEO: Machine Learning and the Future of Radiology

Two Technologies That Offer a Paradigm Shift in Medicine at HIMSS 2017

VIDEO: Expanding Role for Artificial Intelligence in Medical Imaging

How Artificial Intelligence Will Change Medical Imaging

Related Content

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...
Sponsored Content | Videos | Digital Radiography (DR) | January 10, 2019
ITN Contributing Editor Greg Freiherr discusses how advances in digital technology are giving new meaning to the term...
Pacific Northwest VA Network Selects Carestream as Enterprise PACS Supplier
News | PACS | January 08, 2019
Carestream has been awarded a multimillion-dollar healthcare information technology (IT) contract for Veterans Affairs...
Artificial Intelligence Pinpoints Nine Different Abnormalities in Head Scans

A brain scan (left) showing an intraparenchymal hemorrhage in left frontal region and a scan (right) of a subarachnoid hemorrhage in the left parietal region. Both conditions were accurately detected by the Qure.ai tool. Image courtesy of Nature Medicine.

News | Artificial Intelligence | January 07, 2019
The rise in the use of computed tomography (CT) scans in U.S. emergency rooms has been a well-documented trend1 in...