ResourcesVendorsBusiness ServicesEducational ServicesPearson5401 S. Kirkman Rd, Suite 200, Orlando FL 32819Latest from PearsonAdvanced VisualizationAI model predicts 5-year breast cancer risk from mammogram dataBy Amerigo AllegrettoA Duke University team has developed an AI model that they say can predict five-year breast cancer risk from mammograms.March 19, 2024Practice ManagementMore radiology research funding tied to limited patient outreachBy Amerigo AllegrettoRadiology departments receiving more NIH research funding are less likely to serve marginalized populations.January 25, 2024UltrasoundLung POCUS may have value in pediatric emergency settingsBy Amerigo AllegrettoPoint-of-care ultrasound (POCUS) may be useful in the emergency department for assessing and predicting severity for pediatric bronchiolitis.October 24, 2023Digital X-RayX-ray-based AI can help identify malnourished bedridden patientsBy Will MortonAI can accurately glean height and weight from chest x-rays -- a task that could help clinicians implement rapid nutritional interventions for bedridden patients, according to a group in Nagasaki, Japan.September 11, 2023UltrasoundAI-based support tool improves decision-making for TI-RADSBy Amerigo AllegrettoAn AI-based algorithm can help improve clinical decision support for suspicious thyroid ultrasound findings, according to research published August 14 in the Journal of Digital Imaging.August 16, 2023MRIDeep learning helps rads predict pediatric myelin maturation ageBy Kate Madden YeeA deep-learning model helps radiologists accurately predict pediatric myelin maturation age on brain MRIs -- and it could help reduce the time needed to complete this task, a study published July 26 in Radiology: Artificial Intelligence has found.July 30, 2023Nuclear MedicineDynamic digital radiography tested in lung transplant patientsBy Will MortonDynamic digital radiography (DDR) estimates for measuring blood flow in the lungs matched lung perfusion scintigraphy in a group of lung transplant patients, according to research presented at the American Roentgen Ray Society (ARRS) annual meeting in Honolulu.April 23, 2023CTCan dual-layer CT be an alternative to MRI in breast cancer staging?By Amerigo AllegrettoDual-layer CT with high-contrast images demonstrates potential as a useful method for preoperative staging of breast cancer, according to research presented March 4 at ECR 2023 in Vienna.March 6, 2023CTDECT offers lower radiation dose alternative to perfusion CTBy Kate Madden YeeDual-energy CT (DECT) performs comparably to perfusion CT for assessing angiogenesis of lesions resulting from solitary lung nodules, according to a study published January 4 in Scientific Reports.January 5, 2023Image ProcessingCan body composition analysis monitor NETs on CT?By Erik L. RidleyBody composition analysis of routine PET/CT staging exams could be used to opportunistically monitor patients with neuroendocrine tumors (NETs) of a gastroenteropancreatic origin, according to research published on August 4 in Scientific Reports.August 8, 2022Image ProcessingRadiomics, AI identifies osteoporosis on lumbar spine CTBy Erik L. RidleyMaking use of 3D radiomics features, an artificial intelligence (AI) algorithm can opportunistically screen for osteoporosis on lumbar spine CT images, according to research published online April 8 in BMC Musculoskeletal Disorders.April 11, 2022Molecular ImagingSpinal fluid tests may aid PET scans of Alzheimer's diseaseBy Will MortonSpinal fluid and blood tests may help recruit patients for PET studies of new Alzheimer's disease treatments, according to research published February 28 in Alzheimer's & Dementia: The Journal of the Alzheimer's Association.March 3, 2022Radiology EducationWhy remote radiology board exams are here to stayBy Emily HayesReady or not, radiology residents and their educators are getting a crash course this year in virtual board exams due to the COVID-19 pandemic. And the exams may be around for a while, even as the pandemic recedes.June 21, 2021CT3D printing may help to uncover secrets of AAOCABy Erik L. Ridley3D printing may be able to help in stratifying risk and making surgical decisions for patients with anomalous aortic origin of the coronary arteries (AAOCA), one of the most common causes of sudden cardiac death in children, according to research published online January 21 in Computer Methods and Programs in Biomedicine.January 26, 2021Advanced VisualizationAI, radiomics can predict stroke treatment successBy Erik L. RidleyArtificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke.July 27, 2020
