ITN Editor Dave Fornell takes a tour of some of the most innovative new medical imaging technologies displayed on the expo floor at the Radiological Society of North America (RSNA) 2019 meeting.
This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.
This is work-in-progress artificial intelligence app on Fujifilm's mobile digital radiography system to immediately detect pneumothorax (a collapsed lung), The AI highlights the area of interest to show the location to the technologist and attending physician in a unit before the image is even uploaded to the PACS for a read by a radiologist. The technology also can flag the study for an immediate read in the PACS worklist for confirmation by a human. This technology is from a third-party and will be offered on Fujifilm's REiLI AI platform. Applications like this that have immediate impact on critical patient care saw a lot of interest at RSNA 2019. Photos by ITN Editor Dave Fornell.
Patient inclusion flowchart shows selection of women in the training and validation samples used for deep neural network development, as well as in the test sample (current study sample). Exclusions are detailed in the footnote. PACS = picture archiving and communication system. Image courtesy of Radiological Society of North America.