See how deep clinical AI delivers accurate results to inform pivotal decisions
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Schedule time to meet with a RapidAI Team Member in Booth 5555, South Hall A.
Artificial intelligence (AI) is gaining rapid evolvement and showing early success in radiology for clinical translation and applications, with great potential to increase diagnosis accuracy, optimize workflow efficiency, reduce unnecessary procedures, and save costs.
Flat panel technologies: this section explains the fundamental structure and different designs of the flat panel detector, covering both the direct and indirect conversion approaches. Characteristics of different flat panels often lead to different CT designs.
This session will explore the pathways and strategies for getting involved in AI radiology research. Experienced researchers will share their insights on how to begin and advance in this dynamic field, covering essential topics like collaboration, project initiation, and overcoming challenges specific to AI in radiology.
Course Description: This course will review artificial intelligence (AI) tools from a practical sense, understanding emergent tools, practice experience, and the governance of tools after implementation.
Ensuring robust cybersecurity is crucial when deploying AI. This presentation will examine the three primary deployment models—cloud, private cloud, and on-site hardware—analyzing the cybersecurity advantages and disadvantages of each approach.
The progress from unimodal supervised learning of medical images to multimodal, self- or unsupervised learning foundation models, has enabled marked changes in the practice of medicine. They include promoting accuracy of diagnoses, freeing up time for clinicians to provide better care for patients, and partitioning patient risk for various medical conditions that integrate many layers of patient data, including electronic health record, images, genomics, biosensors, and environmental.
The discussion will provide a strategy in the identification and selection of AI within Radiology, a system level approach. Session will share the BJC Healthcare selection, implementation and governance of AI. Understanding and importance of both financial and non-financial ROI during evaluation of AI within Radiology.
Clinical Radiology will be practiced using Artificial Intelligence/Machine Learning (AI/ML) tools. Multiple steps are involved in developing and deploying machine learning models and artificial intelligence applications and clinical radiological expertise and input is required throughout the development and translation pipeline. In order to contribute to the process, Radiologists should have at a minimum, knowledge of AI/ML technology at a high level
Dr. Heilbrun's presentation will discuss the RSNA Imaging AI Certificate Program up to this point and highlight where the program is going in 2024 and beyond.
Ischemic stroke therapy has undergone a paradigm shift in the last decade with a flurry of groundbreaking randomized clinical trials expanding eligibility criteria. Developments in neuroimaging acquisition, processing, and interpretation have been critical in the design and implications of the latest clinical trials. Learn from neuroradiology and neurointerventional experts working at the frontier as we discuss the latest and ongoing ischemic stroke clinical trials focusing on large core infarctions and distal vessel occlusions and their implications for neuroimaging expectations.
This session will include lectures about the regulatory framework and processes for AI/ML-based software medical devices in the US and Europe from the perspective of the regulators (FDA, CE Mark), industry, and healthcare consumers.
VERTEBRAL ARTERY ORIGIN TREATMENT BY ENDOVASCULAR TECHNIQUES REGISTRY (VOTER): SAFETY IN THE FIRST 20 CASES | W3-SSNR11-1 SHORT TERM COMPARISON BETWEEN INTRAARTICULAR INJECTION AND MEDIAL RAMUS NERVE BLOCK IN LUMBAR FACET JOINT SYNDROME | W3-SSNR11-2
Hosted by Drs. Paul Yi and Ali Tejani of the Radiology: Artificial Intelligence podcast, the AI Fireside chat will be an informal discussion with some of the leaders, movers, and shakers in the field of AI in radiology. Join us at the RSNA AI Theater for an intimate and storied time of reflection on the year’s developments in AI, discussion about where the field is moving, and lively debate over controversial topics relevant to radiology, AI, and beyond.
Elevating accuracy and efficiency
Join us for a tasty and informative Lunch & Learn featuring Dr. Vivek Yedavalli, MS who will share the latest developments in:
