Deep learning helps spot CT exams with critical findings
December 20, 2016 -- Deep-learning technology can be a useful tool for identifying cases that contain critical imaging findings, potentially expediting the interpretation of these exams and the communication of results, according to a presentation at the recent RSNA 2016 meeting in Chicago.  Discuss
Machine learning improves FFR-CT for coronary ischemia
December 14, 2016 -- In results that could potentially shake up the heart imaging status quo, a machine learning algorithm slightly outperformed a more traditional algorithm in analyzing fractional flow reserve CT (FFR-CT) studies for detecting signs of ischemic coronary lesions, according to a presentation at the recent RSNA 2016 meeting in Chicago.  Discuss
Should radiologists and pathologists unite to master AI?
December 6, 2016 -- The rise of artificial intelligence (AI) will undoubtedly lead to many unpredictable developments in the years to come, but one could be the unification of radiology and pathology into a single medical discipline, according to a provocative new article in the Journal of the American Medical Association.  Discuss
Deep learning shows promise for reading chest x-rays
November 30, 2016 -- CHICAGO - A deep-learning method offers potential for providing a "human-like" diagnosis on chest x-rays, a group from the U.S. National Institutes of Health (NIH) Clinical Center reported this week at the 2016 RSNA meeting.  Discuss
Video from RSNA 2016: Can AI rescue radiologists from isolation?
November 30, 2016 -- CHICAGO - Many radiologists are viewing artificial intelligence (AI) technology with trepidation. But could AI help rescue radiologists from further isolation from the rest of the healthcare community? Dr. Mark Michalski, director of the Center for Clinical Data Science at Massachusetts General Hospital, ponders this intriguing question in this video from RSNA 2016.  Discuss
Machine learning: The next big thing for breast imaging?
November 29, 2016 -- Machine learning in radiology is a popular subject these days, with some heralding its benefits and others sounding the alarm. Two Monday presentations at RSNA 2016 took the positive side of the debate, suggesting that machine learning could be a boon to breast imaging.  Discuss
Imaging informatics drives new RSNA releases for Philips
November 29, 2016 -- CHICAGO - Philips Healthcare is putting a big emphasis on imaging informatics software in its booth at RSNA 2016, rolling out a series of new applications for a variety of modalities and clinical applications.  Discuss
#MyRadGirlfriend No. 16: When Andy meets Einstein
November 29, 2016 -- Artificial intelligence (AI) may (or may not) be the future of radiology, but there are a few deep questions that even AI can't answer, as Andy discovers at RSNA 2016 in the next installment of #MyRadGirlfriend.  Discuss
Video from RSNA 2016: AI and radiology -- Separating hope from hype
November 28, 2016 -- CHICAGO - Artificial intelligence (AI) is one of the most hyped -- and most feared -- technologies to come along in radiology in years. Dr. Paul Chang from the University of Chicago separates AI's hope from hype in this video interview from RSNA 2016.  Discuss
3 questions to shape the future of AI and radiology
November 16, 2016 -- The introduction of disruptive healthcare technologies rarely threatens the role of the clinician -- but radiology is fast becoming the exception. In this column, Dr. Christopher Austin of GE Healthcare suggests three questions that radiologists should ask themselves if they want to lead and not follow the changes that are coming.  Discuss