Erik L. Ridley[email protected]Image-Guided SurgeryAugmented reality may help guide facet joint injectionsVIENNA - Augmented reality technology could potentially be used to guide injections of the lumbar facet joint, saving time and avoiding radiation dose exposure for radiologists, according to research presented on Saturday at ECR 2018.March 2, 2018CTAI can help distinguish lung nodules on CT scansVIENNA - Artificial intelligence (AI) offers value in characterizing nodules on CT lung cancer screening exams, possibly reducing the number of benign cases that are unnecessarily worked or followed up, according to a pair of Thursday presentations at ECR 2018.March 1, 2018CTDeep learning can detect intracranial calcifications on CTVIENNA - A deep-learning algorithm can accurately detect and measure the volume of intracranial calcifications, potentially facilitating research that could lead to new treatments for intracranial atherosclerosis, according to findings presented on Thursday at ECR 2018.March 1, 20182018Should radiologists give imaging results to patients?VIENNA - Should radiologists provide imaging results directly to patients? It may be a good idea, as patients who receive their results from radiologists are more likely to want to return to that radiology group for future imaging studies, according to research presented on Wednesday at ECR 2018.February 28, 2018MRICan AI help in the fight against gadolinium deposition?What if gadolinium-based contrast agents could be used at just 10% of current dose levels without significantly degrading image quality or contrast enhancement? Artificial intelligence (AI) could make that possible, according to research published online February 13 in the Journal of Magnetic Resonance Imaging.February 20, 2018AIHow can radiologists prepare for future of AI?Yes, artificial intelligence (AI) will likely be a useful adjunct for radiologists and increase their productivity. But AI's greatest effect may be to usher in a new role for radiologists as information managers, according to an article published online February 2 in the Journal of the American College of Radiology.February 15, 2018CTFDA clears Viz.ai's stroke detection softwareIn a move that blazes a regulatory trail for developers of imaging artificial intelligence (AI) software, the U.S. Food and Drug Administration (FDA) has given its blessing to Viz.ai for Contact, an AI-based application that analyzes CT images and notifies providers that a patient might be having a stroke.February 12, 2018BreastDeep-learning algorithm can assess breast densityA deep-learning algorithm can provide fully automated analysis of breast density on screening mammography exams, yielding density estimates that correlate well with assessments provided by radiologists, according to research published online January 24 in Medical Physics.February 8, 2018Nuclear MedicineFDA, NRC clear path for U.S. supply of molybdenum-99A U.S.-based supply of molybdenum-99 is finally at hand: The U.S. Food and Drug Administration (FDA) has approved NorthStar Medical Radioisotopes' RadioGenix isotope separation system, and the U.S. Nuclear Regulatory Commission (NRC) will license the system's production of technetium-99m for medical use.February 7, 2018AIHow will artificial intelligence enhance radiology?Success for artificial intelligence in radiology will be determined by its ability to increase diagnostic certainty, speed turnaround, yield better patient outcomes, and improve the work life of radiologists, according to an article published online February 4 in the Journal of the American College of Radiology.February 5, 2018Previous PagePage 103 of 389Next PageTop StoriesDigital X-RayBone-RADS improves accuracy for junior, attending physicansACR's Bone-RADS led to improved diagnostic accuracy for junior and attending physicians, but lower accuracy for senior physicians.MRIMRI, CT, ultrasound biomarkers help identify Crohn disease stricturesWomens ImagingLow breast cancer screening prevalence tied to socioeconomic factorsMolecular ImagingPET/CT reveals ‘chemo brain’ regions in leukemia patientsAIStanford AIDE lab proposes radiology AI safety monitoring model
