Erik L. Ridley[email protected]CTDeep learning accurately detects brain hemorrhageA deep-learning algorithm can provide high sensitivity and specificity for detecting brain hemorrhage on noncontrast head CT studies, according to research presented last week at the Society for Imaging Informatics in Medicine annual meeting in National Harbor, MD.June 6, 2018MRISIIM: AI can accurately detect cerebral microbleedsAn artificial intelligence (AI) algorithm can automatically identify radiation-induced cerebral microbleeds on brain MRI scans with a high degree of sensitivity, according to research presented on Saturday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting in National Harbor, MD.June 3, 2018ISSIIM: CDS guides appropriate pediatric head CT ordersNATIONAL HARBOR, MD - A clinical decision-support (CDS) algorithm can help reduce the percentage of inappropriate pediatric head CT studies being ordered in the emergency department, according to a study presented on Friday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 1, 2018ISSIIM: Patients should have access to imaging studiesNATIONAL HARBOR, MD - The time is now to provide patients with easy and speedy access to their radiology images and reports, a leading patient advocate told attendees on Thursday at the opening session of the Society for Imaging Informatics in Medicine (SIIM) annual meeting.May 31, 2018AIHow does radiology AI fit into value-based healthcare?NATIONAL HARBOR, MD - Artificial intelligence (AI) technology shows considerable potential for aiding radiology's transition to value-based payment models, but these algorithms must yield quantifiable benefits to find a niche, according to presentations on May 30 at the Spring 2018 Data Science Summit.May 30, 2018ISHow does CDS affect orders for imaging exams?Can the use of clinical decision-support (CDS) software significantly improve the appropriateness of imaging study orders? Yes, it can, particularly for physician trainees, according to research published online May 25 in the Journal of the American College of Radiology.May 24, 2018UltrasoundCan AI reliably measure carotid intima-media thickness?Artificial intelligence (AI) software that combines deep-learning and machine-learning techniques can measure carotid intima-media thickness more accurately than sonographers can, according to research in the July 1 issue of Computers in Biology and Medicine.May 24, 2018Digital X-RayAI can find, classify pleural effusions on chest x-raysAn artificial intelligence (AI) algorithm has shown promising results for finding and classifying pleural effusion on chest x-ray studies, potentially helping to speed up interpretation times and triage priority cases.May 17, 2018AssociationsMITA hails FDA quality report, seeks legislative actionThe Medical Imaging and Technology Alliance (MITA) said it strongly supports a new initiative by the U.S. Food and Drug Administration (FDA) to promote the adoption of quality management principles in equipment servicing; however, the group is also calling on Congress to take legislative action to protect patient safety.May 15, 2018UltrasoundCan ultrasound screen for fetal growth restriction?Can second-trimester ultrasound screening for fetal growth restriction reliably predict if a baby will go on to have a low birth weight for his or her gestational age? Not in most cases, according to recent research from Vanderbilt University Medical Center in Nashville, TN.May 14, 2018Previous PagePage 103 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
