The automated deep-learning framework, described in the Journal of Medical Imaging, helps aid in the evaluation of disease progression and assist the computed tomographic (CT) monitoring of different treatment responses. It does so as accurately—and significantly faster—as expert manual measurements done by physicians.
The invention could lead to faster results, increase the clinical applications of MRIs, and ultimately improve patient care.
Magnetic resonance imaging (MRI) can reliably establish measurements for anterior cruciate ligament (ACL) "footprints" that are critical to the placement of grafts for reconstruction surgery, UT Southwestern researchers report.
For the first time, a new study has identified enlarged perivascular spaces in the brains of migraine sufferers.
Clinical report addresses need for point-of-care ultrasonography guidelines for neonatal intensive care units
A point-of-care ultrasonography (POCUS) program should be developed for use in the neonatal intensive care unit (NICU), according to a clinical report published online Nov. 28 in Pediatrics.