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ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

RSNA 2021 Offers Artificial Intelligence (AI) Showcase for Companies Exhibiting Latest in Medical Imaging AI

By MedImaging International staff writers
Posted on 25 Oct 2021
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The RSNA 107th Scientific Assembly and Annual Meeting, the world’s largest annual radiology forum, will be offering the popular Artificial Intelligence (AI) Showcase, a dedicated hub for the latest in medical imaging artificial intelligence (AI).

RSNA 2021: Redefining Radiology will be held by the Radiological Society of North America (Oak Brook, IL, USA) at McCormick Place Chicago, Nov. 28-Dec. 2, 2021 to showcase new ideas and technologies that redefine what it means to work as a radiologist. With more than 2,000 presenters and more than 300 live educational courses, the meeting promises to deliver an outstanding program with a multitude of science, education and CME opportunities for radiology professionals from around the world.

RSNA 2021 will be offering the AI Showcase, a central hub for companies to feature their products and network with attendees. Meanwhile, attendees to AI Showcase will be able to connect with AI Showcase exhibitors offering the latest innovations and technical solutions. Additionally, the RSNA AI Theater will offer presentations on AI solutions that are fueling the future of imaging.

The AI Showcase remains the premier place for attendees to connect with companies offering the latest radiology AI software and products, and provide the ability to network with industry leaders and colleagues. The AI Showcase will feature more than 100 companies offering the opportunity to see the possibilities of AI firsthand. RSNA will also offer sessions highlighting the Society’s leadership in AI, including presentations about the new RSNA Imaging AI Certificate program, submitting content to Radiology: Artificial Intelligence, participating in the AI Challenges, and contributing data to Medical Imaging and Data Resource Center (MIDRC).

This year, the Imaging AI in Practice Demonstration will be enhanced and presented live to showcase the new AI technologies and integration standards needed to embed AI into the diagnostic radiology workflow. This multi-vendor interoperability exhibit uses real-world clinical scenarios and imaging studies to demonstrate AI tools and health information technology standards in action. The demonstration covers the radiology workflow, including imaging examination ordering, acquisition protocoling, image interpretation with AI clinical decision support at the point of care, reporting and incidental finding follow-up. The Imaging AI in Practice Demonstration is a collaborative effort between industry partners, radiologists and imaging informaticists. Twenty-two vendors will demonstrate 32 live individual applications.

The AI Challenge award winners will also be recognized in the AI Showcase Theater. This year’s challenges are the SIIMFISABIO-RSNA COVID-19 Detection Challenge and the RSNA-ASNR-MICCAI BraTS 2021 Challenge. Winners will present their methods and results during the recognition program. Exhibitors in this dedicated 3D Printing and Mixed Reality Showcase will feature the latest products in 3D printing, advanced visualization, holography and virtual reality. The critical role that radiology plays in creating the images used to develop models to assist in patient care and education will be evident in presentations and hands-on activities.

Attendees interested in deepening their understanding of AI applications will be able to visit the RSNA AI Deep Learning Lab, featuring 14 unique sessions developed by RSNA members covering a range of AI topics and skill levels, including several beginner options. Many of the sessions will employ a combination of lecture and hands-on activities. Attendees can bring their own devices for hands-on activities and to explore new tools, resources and topics in AI.

Related Links:
Radiological Society of North America 

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