Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI.
The Learning-based Inference of Longitudinal imAge Changes, or LILAC, system harnesses machine learning to review medical images that have been collected over a prolonged period.
These animals are virtually indestructible and have long outlived the dinosaurs due to their ability to withstand extreme cold, heat, natural disasters and even cosmic radiation.
New technology now being considered by the FDA for approval can capture coronary inflammation on CCTA images and provide risk assessments. What could this mean for the future of cardiac care? We spoke to one researcher to learn more.
Back in September, the FDA approved GE HealthCare’s new PET radiotracer, flurpiridaz F-18, for patients with known or suspected CAD. It is seen by many in the industry as a major step forward in patient care.
The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.
Images show regional ventilation, with values of (A) 0.1 mL/mL in the participant with PCC and (B) 0.5 mL/mL in the healthy control participant. Courtesy of Radiology.
New research findings may help explain why children recovering from COVID-19 continue to struggle with lingering fatigue.
The partnership will enable radiologists to more seamlessly access and post-process images acquired on Siemens Healthineers’ photon-counting CT scanners.
