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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RamSoft partners with M*Modal

RamSoft has partnered with M*Modal to offer embedded speech technology with RamSoft’s PowerServer RIS/PACS, PACS and Tele Plus systems.

Research + IT are central to addressing radiation exposure challenges

CT radiation exposure has dominated consumer and professional headlines for several years, yet mechanisms, effects and measures to control dose are not well-understood. Research is needed to plug knowledge gaps in nearly all areas of CT radiation exposure, according to the proceedings and recommendations of the Radiation Dose Summit, published in the November issue of Radiology.

Quantitative imaging makes a splash

Although the theme of RSNA 2012 is patients first, certain other trends appear poised for a breakout conference. Quantitative imaging is high on the list of rising stars.

Gastrointestinal: CT Colonography Update

Tuesday, Nov. 27, 8:30-10:00 a.m. | E405B | In this interactive session, speakers address the basics of CT colonography interpretation, common interpretation pitfalls, reporting and workflow, as well as answer questions about diagnostic accuracy.

Quantitative Imaging: A Revolution in Evolution

Thursday, Nov. 29, 8:30-10:00 a.m.| N229 | This session explores quantitative imaging and how it might revolutionize the practice of radiology. Speakers review research advances and current clinical applications and discuss challenges of quantitative imaging.

Quantitative Imaging: Quantitative Imaging in FDG-PET

Tuesday, Nov. 27, 4:30-6:00 p.m. | S102D | This course covers lessons learned from drug development trials, trial design and quantitative approaches to multicenter molecular imaging trials and sources of variability in multicenter PET imaging.

Quantitative Imaging: Current and Future Practice in Radiology and Clinical Trials

Sunday, Nov. 25, 2:00-3:30 p.m. | S404CD | Speakers share various perspectives on quantitative imaging and outline its role in the RSNA 2011-2016 Strategic Plan. Barriers to the dissemination of quantitative imaging also will be discussed.

Techniques for Quantitative Cancer Imaging: Current Status

Sunday, Nov. 25, 2:00-3:30 p.m. | S404AB | Three speakers familiarize the audience with quantitative cancer imaging techniques in CT, MRI and PET/CT. They examine the strengths and limitations of each modality and review the basic principles of current applications.

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