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
AI-based chatbot answers routine radiology questions
January 29, 2018 -- Interruptions are the bane of a radiologist's workday and can lead to interpretation errors. A chatbot based on artificial intelligence (AI) aims to reduce these disruptions while also providing information quickly to both clinicians and patients.  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
Machine Learning for Healthcare (MLHC)
August 6-8
Durham, North Carolina United States