Researchers involved in its development are hopeful that the scanner could eventually lead to improved outcomes in cancer patients who require surgery to remove malignant tissue.
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.
The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.
Reviewing 20 years’ worth of data, researchers have found children with Down syndrome are imaged more often than others and, in the process, get exposed to significantly more ionizing radiation.
Some heart teams may only target the culprit lesions when treating older patients, but new research confirms this increases the risk of several unfavorable outcomes.
Datapoints contained in structured radiology reports can be readily mined to guide decisions around long-term clinical, business and population-health aims.
Steen Dalby Kristensen, a cardiologist with Aarhus University Hospital in Denmark, detailed some of the hottest topics at the European Society of Cardiology's annual meeting.
Here’s a profile of the quintessential social media influencer working in radiology: male, physician, subspecialized, academic and/or administrative leader ...
