OAK BROOK, Ill. (Jan. 23, 2019) – The Radiological Society of North America’s 104th Scientific Assembly and Annual Meeting (RSNA 2018), held in Chicago’s McCormick Place from November 25 to November 30, highlighted RSNA’s ongoing commitment to fostering research and education in radiology, with special focus on artificial intelligence (AI) applications in the field.

“In keeping with the 2018 theme, ‘Tomorrow’s Radiology Today,’ the meeting showcased a variety of AI applications and emerging technologies that provide our attendees with the tools they need to be leaders in radiology,” said RSNA Executive Director, Mark G. Watson.

Story Continues Below Advertisement

Ad Statistics

Times Displayed: 3294
Times Visited: 23

Has exclusive distribution agreement with DDD to sell new Camera systems

UMRi provides the very best new & refurbished gamma cameras, quality parts &repair services. We also rebuild & replace camera detectors, move camera systems across town or across the country. Call us at 888-239-3510

Advances in machine learning and AI offer a variety of applications that are now being employed in medical imaging with exciting results. RSNA 2018 provided an array of AI sessions and education exhibits, an AI Learning Community, as well as the Machine Learning Showcase. Sponsored by Arterys and Google Cloud and doubled in size for 2018, the showcase allowed attendees to connect with companies to see the latest in machine learning and artificial intelligence products, as well as special presentations in the Machine Learning Theater.

The showcase also hosted a recognition session for the awardees of the RSNA Pneumonia Detection Challenge, a machine learning competition requiring teams to develop algorithms to identify and localize pneumonia in chest X-rays. Over 1,400 teams took part in the challenge, and 346 submitted results during the evaluation phase of the competition, with the top prize going to Ian Pan & Alexandre Cadrin.

The National Cancer Institute’s Crowds Cure Cancer exhibit returned for its second year. Presented in the Learning Center, the project invited radiologists to annotate clinical images for machine learning research.

Also returning was the RSNA Deep Learning Classroom, presented by NVIDIA Deep Learning Institute (DLI). Certified instructors from NVIDIA’s DLI were on hand to help attendees learn to write algorithms and improve their understanding of AI technology. The RSNA Radiology Informatics Committee and committee member Bradley J. Erickson, M.D., Ph.D., director of the Radiology Informatics Laboratory at Mayo Clinic in Rochester, Minn., were instrumental in development of the curriculum.

RSNA 2018 featured a number of other hot topics in radiology, such as advanced visualization and 3-D printing for medical applications. The 3-D Printing and Advanced Visualization Showcase, sponsored by TeraRecon, highlighted the latest products in 3-D printing equipment and software, as well as advanced visualization products like augmented reality, holography and virtual reality platforms.

(Excerpt) Read more Here | 2019-01-24 17:19:35
Image credit: source


Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.