RSNA 2020 Artificial Intelligence Preview

Road to RSNA 2020: Artificial Intelligence

By Erik L. Ridley, staff writer
November 9, 2020

Welcome to the first installment of this year's Road to RSNA preview of the RSNA 2020 meeting. Although RSNA 2020 will be held virtually due to the COVID-19 pandemic, attendees will find no shortage of scientific and educational content over six days packed with plenary, science, educational, hot topic, and on-demand sessions as well as exhibits.

As has been the case in recent years, artificial intelligence (AI) will have a dominant presence at the meeting, permeating throughout the meeting program. In our preview, we look at topics and issues in the informatics track, as well as provide coverage of AI-related developments in other subspecialty areas.

The growing maturity of AI technology in radiology will be evident at RSNA 2020, with studies increasingly focusing less on model performance in narrow tasks and more on how it will be integrated into radiology workflow. Other notable, hot areas in AI include non-image-based AI, federated learning, and using AI to reduce the amount of time needed for image acquisition.

Among the various subspecialties, look for research on utilizing AI for rib fracture detection and treatment outcome prediction, as well as in a wide range of neuroradiology applications.

AI is also set for a starring role in breast imaging presentations at the meeting, featuring studies assessing its utility in mammography, as well as breast ultrasound and MRI. And even though the abstract submission deadline for RSNA 2020 came early in the pandemic, there will still be a number of talks describing how AI can help in the fight against COVID-19, including, for example, predicting patient prognosis based on quantified changes in the lung.

AI shows growing maturity in RSNA informatics sessions
More than half of the several hundred informatics abstracts submitted for RSNA 2020 involved artificial intelligence (AI), and these submissions tended to reflect a growing maturity in the AI space, according to Dr. Nabile Safdar, chairman of the RSNA Scientific Program Committee's radiology informatics subcommittee.  Discuss
VUNO to showcase power of flagship AI solution at RSNA
VUNO will attend RSNA 2020 to showcase the power of its flagship artificial intelligence (AI) radiology solutions, which have received the CE Mark and are currently being evaluated by the U.S. Food and Drug Administration under the 510(k) process.  Discuss
Use cases expand, solidify for AI across subspecialties
Our journey on the Road to RSNA continues with a look at artificial intelligence (AI) topics and issues in subspecialty areas such as breast imaging, emergency radiology, neuroradiology, pediatric radiology, interventional radiology, and physics.  Discuss