Artificial Intelligence

  • The Imaging Technology News (ITN) website had a record year with more than 1.04 million page views in 2016. Here are the most popular articles readers clicked on from 2016:

  • At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis and clinical decision support.

  • Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explains the basis of the utilization of artificial intelligence (aka deep learning and machine learning) in radiology.

  • Eliot L. Siegel, M.D., Dwyer Lecturer; Closing Keynote Speaker, Vice Chair of Radiology at the University of Maryland and the Chief of Radiology for VA Maryland Healthcare System, talks about the current state of the industry in computer-aided detection and diagnosis at SIIM 2016. 

MRI advances, innovations in MRI, most popular radiology stories
Feature | December 20, 2016 | Dave Fornell

The Imaging Technology News (ITN) website had a record year with more than 1.04 million page views in 2016.

artificial intelligence, radiology, five reasons, Signify Research report
News | Artificial Intelligence | December 19, 2016

December 19, 2016 — A recent report from market research firm Signify Research presents five reasons why...

Videos | Artificial Intelligence | December 16, 2016

At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and...

Videos | Artificial Intelligence | December 08, 2016

Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explains...

Videos | Artificial Intelligence | July 19, 2016

Eliot L. Siegel, M.D., Dwyer Lecturer; Closing Keynote Speaker, Vice Chair of Radiology at the University of...

artificial intelligence, breast cancer diagnosis, Beth Israel Deaconess Medical Center, Harvard Medical School
News | Computer-Aided Detection Software | June 28, 2016

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images...

Watson avatar courtesy of IBM

Feature | Artificial Intelligence | March 02, 2016 | Greg Freiherr

Artificial intelligence (AI) may soon be routine in radiology. It won’t take the shape of robots that clank and whir...

Image courtesy of Pixabay.

Blog | Artificial Intelligence | February 17, 2016

Radiologists use visual pattern matching in much the same way referring physicians visually assess their patients....

artificial intelligence
Feature | Artificial Intelligence | February 03, 2016 | Greg Freiherr

Radiologists want a bigger role in healthcare, one that allows them a say in patient management, ideally one that...

PACS

Images courtesy of Pixabay.

Blog | Artificial Intelligence | February 03, 2016

Time is brain. The longer a brain injury goes untreated, the higher the chance of permanent damage or death. 

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