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.
ACC.24, the American College of Cardiology's annual meeting in Atlanta, featured the latest in cardiovascular research and technologies. Representatives from Cardiovascular Business were there in person to take in the excitement.
A study out of China found most patients biopsied for prostate lesions did not have clinically significant cancer, calling the clinical ranking systems into question.
Gregg Stone, MD, explains the details of the late-breaking RELIEVE-HF trial at ACC.24, where an inter-atrial shunt improved symptoms in HFrEF, but not in HFpEF patients.
Howard C. Herrmann, MD, principal investigator of the SMART trial, discussed his team's research on self-expanding vs. balloon-expandable TAVR valves in patients with small annuli.
