December 19, 2016 — A recent report from market research firm Signify Research presents five reasons why artificial ...
Artificial Intelligence
This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.
At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and ...
Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explains the ...
Agfa Radiology Solutions is committed to enhancing clinical outcomes and operational efficiency, underscoring its ...
November 29, 2016 — Philips Healthcare announced the commercial availability of its high-performance IntelliSpace ...
Eliot L. Siegel, M.D., Dwyer Lecturer; Closing Keynote Speaker, Vice Chair of Radiology at the University of Maryland ...
June 28, 2016 — Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually ...
Bayer Calantic and Blackford Analysis have teamed up with new artificial intelligence (AI) innovations to address the ...
Artificial intelligence (AI) may soon be routine in radiology. It won’t take the shape of robots that clank and whir. Or ...
Radiologists use visual pattern matching in much the same way referring physicians visually assess their patients. The ...
Radiologists want a bigger role in healthcare, one that allows them a say in patient management, ideally one that goes ...
To mitigate the overwhelming volume of radiology data compounding staff shortages and burnout, Philips AI Solutions ...
Time is brain. The longer a brain injury goes untreated, the higher the chance of permanent damage or death. And no ...