Video from ECR 2018: Bernd Hamm on Brexit, AI, and the big chill
February 28, 2018 -- VIENNA - Brexit will have no impact on the relationship between the European Society of Radiology and the U.K. Royal College of Radiologists, said ECR 2018 President Dr. Bernd Hamm in an exclusive interview. He shares his thoughts on the first day of the congress, including the impact of artificial intelligence (AI), attendance so far, how the organizers are beating the cold weather, and why he's serving as ECR president for the second time.  Discuss
Can AI help in the fight against gadolinium deposition?
February 21, 2018 -- What if gadolinium-based contrast agents could be used at just 10% of current dose levels without significantly degrading image quality or contrast enhancement? Artificial intelligence (AI) could make that possible, according to research published online February 13 in the Journal of Magnetic Resonance Imaging.  Discuss
How can radiologists prepare for future of AI?
February 16, 2018 -- Yes, artificial intelligence (AI) will likely be a useful adjunct for radiologists and increase their productivity. But AI's greatest effect may be to usher in a new role for radiologists as information managers, according to an article published online February 2 in the Journal of the American College of Radiology.  Discuss
FDA clears Viz.ai's stroke detection software
February 13, 2018 -- In a move that blazes a regulatory trail for developers of imaging artificial intelligence (AI) software, the U.S. Food and Drug Administration (FDA) has given its blessing to Viz.ai for Contact, an AI-based application that analyzes CT images and notifies providers that a patient might be having a stroke.  Discuss
Deep-learning algorithm can assess breast density
February 9, 2018 -- A deep-learning algorithm can provide fully automated analysis of breast density on screening mammography exams, yielding density estimates that correlate well with assessments provided by radiologists, according to research published online January 24 in Medical Physics.  Discuss
How will artificial intelligence enhance radiology?
February 6, 2018 -- Success for artificial intelligence in radiology will be determined by its ability to increase diagnostic certainty, speed turnaround, yield better patient outcomes, and improve the work life of radiologists, according to an article published online February 4 in the Journal of the American College of Radiology.  Discuss
Report: Interest surges in AI for radiology
February 6, 2018 -- While approximately one in four hospital radiology departments has either just adopted machine learning or has been using artificial intelligence (AI) for a while, most hospitals and imaging centers plan to utilize the technology before 2020, according to a new report from market research firm Reaction Data.  Discuss
Is deep learning in radiology an art or a science?
February 1, 2018 -- Is developing deep-learning algorithms for medical imaging applications an art or a science? It's much more of an art at the moment, according to an article from a team led by Dr. Bradley Erickson, PhD, of the Mayo Clinic in Rochester, MN, that was published online January 31 in the Journal of the American College of Radiology.  Discuss
Can AI learn how to understand radiologist reports?
February 1, 2018 -- Can artificial intelligence (AI) technology learn how to understand radiologist reports? Yes, it can, and this capability could spark development of the next generation of deep-learning algorithms to aid radiologists, according to research published online January 30 in Radiology.  Discuss
AI, radiomics help distinguish lung nodules on CT scans
January 31, 2018 -- The combination of artificial intelligence (AI) algorithms and radiomics can distinguish malignant from benign lung nodules on noncontrast CT scans, potentially reducing the number of unnecessary surgical interventions in these cases, according to a multi-institutional team from Cleveland.  Discuss
Special Feature
Video from RSNA 2019: Dr. Paul Chang on AI and radiology
Video from RSNA 2019: Dr. Paul Chang on AI and radiology

Dr. Paul Chang of the University of Chicago shares his views on how recent changes in artificial intelligence promise to reshape medical imaging. Learn more

Conferences
Steamboat Springs 2020: MR and CT Advanced Imaging and Artificial Intelligence
March 1-6, 2020
Steamboat Springs, Colorado United States
Computer Assisted Radiology and Surgery (CARS) 2020
June 23-27, 2020
Munich, Bayern Germany