In Artificial Intelligence at RSNA 2019, ITN Contributing Editor Greg Freiherr offers an overview of artificial intelligence (AI) advances at the Radiological Society of North America (RSNA) 2019 annual meeting.
Technology Report: Artificial Intelligence 2019
This image is of an 80 kg woman with a newly diagnosed IDH-wildtype glioblastoma. The quarter dose image on the left was obtained after the administration of 4 ml of MultiHance. Subsequently, an additional 12 ml of MultiHance was administered and the cumulative full dose image in the center was obtained. The image on the right was rendered following artificial intelligence processing of the 4 ml image using eGad genetic algorithms. This image has the quality of triple dose gadolinium even though only one quarter dose gadolinium was given.
This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.