Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Virtualization and Remote Rendering for Medical Imaging: Dec. 2, 8:30am-10am

This session begins with the basics of virtualization and explores its role in enterprise imaging and advanced processing. Speakers also present pitfalls to avoid.

Virtualized and Cloud-based Advanced Image Analysis Utilities, including 3D: Nov. 29, 8:30am-10am

An expert demonstrates how virtualized and cloud-based systems can improve access to advanced image processing tools, provides hands-on experience with advanced visualization and reviews applications for radiologists and referring clinicians.

Advanced Image Analysis: Nov. 28, 8:30am-10am

This hands-on workshop addresses automated stent planning, multimodality image fusion and treatment planning using 3D and 4D tools to process large CT and MR datasets. It reviews basics 3D tools for radiologists and referring clinicians and also presents how to apply these tools in near real-time for emergencies.

Advanced Visualization (Informatics in Practice): Nov. 27, 2pm-3:30pm

An expert panel describes the basics of 3D and advanced image processing including clinical scenarios, provides tips for selecting a 3D system and reviews the economic, legal and procedural principles to ensure success of the 3D lab.

Informatics Support for Quantitative Imaging: Nov. 27, 2pm-3:30pm

This refresher course assesses the challenges and opportunities of quantitative imaging and considers how informatics can enable and improve quantitative imaging. It also explores radiogenomics and introduces the National Cancer Institutes Quantitative Imaging Network and the potential role of imaging as a biomarker.

Quantitative Medical Imaging for Clinical Research and Practice: Nov. 27, 11am-12:30pm

An expert panel introduces quantitative imaging biomarkers for diagnosis and clinical trial outcome measures by reviewing cases from multiple modalities and various organ systems. Panelists demonstrate quantitative measurements from PET/CT and techniques for DCE-MRI analysis.

Advanced visualization makes strong showing at RSNA 11

Advanced visualization technology continues to play an important role across the enterprise. At the same time, strategies for best practices have not yet been defined as applications and approaches evolve. Its critical to stay on top of clinical, informatics and practice considerations. Below are Health Imagings top picks for RSNA sessions in advanced visualization along with this past month's highlights in advanced visualization.

Brain Imaging Work-up for Dementia: FDG PET, Amyloid PET and MRI: Nov. 27, 2pm-3:30pm

Designed for physicians and researchers involved in brain PET imaging of dementia, this refresher course explores the role of various modalities in the diagnosis and work-up of dementia. Speakers also will discuss new radiotracers for amyloid imaging.

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