The Philips Azurion interventional imaging system was recently updated with new ultralow dose technology that is said to reduce X-ray exposure by up to 50% during coronary procedures.
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.
These findings present additional evidence that invasive imaging tests are not necessarily more effective when it comes to evaluating patients for chest pain.
