Erik L. Ridley[email protected]CTSIIM: AI can detect multiple myeloma lesions on whole-body CTKISSIMMEE, FL - Lesions caused by multiple myeloma can be detected by an artificial intelligence (AI) algorithm on whole-body CT exams, according to a presentation given on June 11 at the annual Society for Imaging Informatics in Medicine (SIIM) conference.June 10, 2022Image ProcessingQuantitative ultrasound can help detect hepatic steatosisA quantitative ultrasound technique can be highly sensitive for detecting hepatic steatosis, correlating highly with MRI measurements, according to research published June 8 in the American Journal of Roentgenology.June 7, 2022Image ProcessingCT radiomics helps predict HCC recurrence after liver transplantA CT radiomics nomogram can preoperatively predict if a hepatocellular carcinoma (HCC) patient will have early recurrence following a liver transplant, according to new research published in Hepatobiliary & Pancreatic Diseases International.June 5, 2022Clinical NewsStudy finds racial inequity in imaging rates at pediatric EDsA large cross-sectional study encompassing 38 children's hospitals and more than 12 million pediatric emergency department (ED) visits has found significant differences in imaging utilization among racial and ethnic groups.June 2, 2022Practice ManagementAuntMinnie.com Imaging Leaders InsiderJune 1, 2022BreastRace, education affect perceptions of mammography reportsA woman's race and education level can significantly impact how they view the quality of mammography reports and how much they trust their radiologist, according to a talk at the recent Society of Breast Imaging/American College of Radiology symposium.May 31, 2022BreastOutreach can narrow racial disparity in breast cancer screeningA community outreach program can be quite helpful in reducing racial disparity among women receiving breast cancer screening, according to a presentation at the recent Society of Breast Imaging/American College of Radiology symposium.May 30, 2022CTAI aids CT lung screening by assessing suspicious lung nodulesRadiologists can improve their assessment of indeterminate lung nodules on CT exams with help from artificial intelligence (AI)-based computer-aided diagnosis software, according to research published online May 24 in Radiology.May 24, 2022MRICan AI guide supplemental breast MRI screening?A deep learning-based risk assessment model can perform better than traditional risk models for guiding decisions on supplemental breast MRI screening, according to a talk at the Society of Breast Imaging/American College of Radiology symposium.May 23, 2022BreastAI flags breast arterial calcification on mammographyArtificial intelligence (AI)-based analysis of screening mammography exams could enable personalized cardiovascular risk assessment for women, according to a talk at the Society of Breast Imaging/American College of Radiology symposium.May 22, 2022Previous PagePage 17 of 388Next PageTop StoriesCTVideo: Incoming SCCT president discusses CT's environmental impactIncoming SCCT President Kavitha Chinnaiyan, MD, spoke to AuntMinnie about the environmental impact of CT and fostering women-led cardiovascular health research.PACS/VNAHPI: Telemedicine imaging rates lower than in-person visitsAIAI system integrates eye gaze data and radiology reportsMRIAI improves diagnostic consistency in bpMRI for prostate imagingSponsor ContentYou think ahead. We innovate ahead.
