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.
The program leverages the in-context learning abilities of large language models to generate report summaries using domain-specific, individualized data relative to radiology.
The FDA Circulatory System Devices Panel is set to review the PMA submissions for the ReCor and Medtronic renal denervation systems to treat patients with uncontrolled hypertension.
Jonathan Lindner, MD, offers an update on the use of echocardiography and bubble contrast agents in a therapy role to help revascularize STEMI patients and increase drug and gene delivery.
CT findings that have historically been deemed as concerning relative to PE might not hold as much weight when it comes to associated risks as previously thought, new analysis suggests.
The new technique mixes MRI signals at different gradient pulse strengths and timings, offering better visualization of differences in the way water molecules move through tissues.
