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RSNA launches artificial intelligence initiatives

Press releases may be edited for formatting or style

RSNA 2018 will offer a growing roster of programming focusing on the power and potential of AI in radiology and issues associated with implementation. Along with AI-focused refresher courses and scientific sessions, the meeting offers a variety of other educational experiences focusing on AI research.

Attendees can visit the National Cancer Institute's Crowds Cure Cancer exhibit returning for its second year. Presented in the Learning Center, the project invites radiologists to annotate clinical images for ML research.
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Returning to the RSNA annual meeting this year is the RSNA Deep Learning Classroom, presented by NVIDIA Deep Learning Institute (DLI). Certified instructors from NVIDIA's DLI will be on hand to help attendees learn to write algorithms and improve their understanding of AI technology.

More than 1,000 people attended the 2017 classroom which provided a general overview of ML. The 2018 classroom will increase the focus on radiology imaging with advanced topics like data augmentation, segmentation and multiparametric classification.

"The RSNA Deep Learning Classroom offers an opportunity for anyone with a laptop to construct and train an actual computer-vision system based on a neural network in just 90 minutes," Dr. Langlotz said.

Also at RSNA 2018, the Machine Learning Showcase gives attendees an opportunity to learn about the latest ML technology and network with companies on the forefront of ML advances. The showcase will feature a Machine Learning Theater, offering presentations daily between 11 a.m. and 2 p.m.

In early 2019, RSNA will debut its new online journal, Radiology: Artificial Intelligence, highlighting the emerging applications of AI and ML in the field of imaging across multiple disciplines. The journal's editor, Charles E. Kahn, Jr., M.D., M.S., invites submissions to the bi-monthly online journal.


About RSNA:
RSNA is an association of over 54,200 radiologists, radiation oncologists, medical physicists and related scientists, promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Ill.

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