Our journey along the Road to RSNA will begin fittingly with our preview of artificial intelligence (AI), a topic that has dominated the annual meeting for the past six years. Per usual, AI research will feature in a number of dedicated sessions, as well as a variety sprinkled throughout the scientific program.
Scientific presentations at RSNA 2022 will demonstrate the ever-growing utility and breadth of radiology AI tools across the range of the imaging chain. Researchers will share how deep learning-based reconstruction techniques can be utilized to lower radiation dose and speed up exams. Other presentations will detail how AI algorithms can triage imaging studies, assist radiologists in time-consuming tasks, improve diagnostic accuracy, and help to predict treatment outcomes.
Breast imaging remains perhaps the most advanced use case for AI in radiology. For example, evidence is building that AI algorithms can be highly effective as a triage tool for mammograms and digital breast tomosynthesis (DBT) exams highly likely to be normal. With this approach, a significant number -- perhaps as much as 40% -- of DBT screening exams could be removed from the radiologist workflow without increasing false negatives, according to one study set to be presented in Chicago.
See below for previews of these and other AI-related scientific talks at this year's RSNA meeting. Of course, these are just a sample of the content on offer; many other scientific presentations, scientific posters, educational courses and exhibits, and plenary sessions on AI topics also await attendees. For more information on those presentations and other abstracts, view the RSNA 2022 meeting program.
The AI Showcase also returns for RSNA 2022. Located again in the South Hall, the AI Showcase will cover 35,800 square feet and, as of press time, feature 120 exhibitors. The AI Theater will be the venue for daily vendor and RSNA presentations, including a November 28 celebration of the winners of the RSNA's Cervical Spine Fracture AI Challenge.
You also won't want to miss this year's Imaging AI in Practice interoperability demonstration, which will showcase in real-world clinical scenarios how AI can be integrated into radiology practice. In addition, the RSNAI Resource Center will enable visitors to learn more about the RSNA's Imaging AI certificate program and efforts to create data for training AI algorithms.
Finally, those interested in a hands-on educational experience may want to take classes in the RSNA's AI Deep Learning Lab, which will offer attendees the opportunity to improve their knowledge of AI technology, work with deep-learning models, write basic algorithms, and learn how to organize data for implementation, according to the society.