AI catches interval breast cancers missed by rads
December 1, 2020 -- Artificial intelligence (AI) software could help cut down on the number of interval breast cancers, according to research presented Monday at the 2020 virtual RSNA meeting. An AI program detected more than one-third of breast cancers missed on screening mammography in two different studies.  Discuss
Can AI software drive CT lung screening rates higher?
December 1, 2020 -- Can software based on artificial intelligence improve the anemic rates of CT lung cancer screening in the U.S.? That's the hope of Infervision, whose InferRead Lung CT.AI software won the Minnies award for Best New Radiology Software. The application is designed to automatically detect lung nodules on chest CT exams.  Discuss
How good is the evidence supporting AI in radiology?
December 1, 2020 -- Just how good is the quality of scientific evidence supporting the use of artificial intelligence (AI) in radiology? The research study named the Scientific Paper of the Year in the Minnies awards found that much of the evidence claiming AI algorithms are superior to human experts tends to be of low quality and based on exaggerated claims.  Discuss
Can AI be a second reader in breast cancer screening?
November 30, 2020 -- An artificial intelligence (AI) algorithm could obviate the need for a second radiologist to review a screening mammogram in more than four out of five exams performed for a national breast cancer screening program, according to a presentation on Monday morning at the virtual RSNA 2020 meeting.  Discuss
AI, COVID-19 imaging dominate RSNA 2020 so far
November 30, 2020 -- What have been the top stories at this week's RSNA 2020 virtual conference? Artificial intelligence (AI), imaging of COVID-19, and breast MRI have drawn attention, according to this roundup from day 2 of the meeting, provided by's editorial team.  Discuss
New York neurorads share COVID-19 best practices
November 30, 2020 -- New York City has been dramatically affected by the COVID-19 crisis, and neuroradiologists there were at times the first to identify the disease incidentally via imaging exams performed for other purposes, according to two presentations delivered on Monday at the virtual RSNA 2020 conference.  Discuss
Involve medical students in reporting, Swiss team urges
November 30, 2020 -- Integrating medical students into the radiology reading room can have major long-term benefits, and the accuracy of medical students' reports is only slightly inferior to that of first-year residents, Swiss researchers have reported at the virtual RSNA 2020 meeting.  Discuss
Breast MRI shows promise for surgical planning
November 30, 2020 -- Preoperative MRI may lead to better planning for breast cancer surgeries, according to research presented on Sunday at the virtual RSNA 2020 meeting. One team found three MRI features tied to surgical success, while another group showed how preoperative MRI could reduce repeat surgeries.  Discuss
Algorithm outperforms top breast cancer risk model
November 30, 2020 -- A deep-learning algorithm outperformed a top breast cancer risk assessment model in research presented at the virtual RSNA 2020 meeting. In fact, the algorithm bested the human risk assessment tool using data from mammograms alone.  Discuss
Mobile apps bring radiology education to the world
November 30, 2020 -- Mobile apps can bring high-quality radiology education to imaging specialists around the world, according to Dr. Elliot Fishman of CTisus. Fishman discusses the benefits of mobile apps over traditional educational tools in this video interview with  Discuss