Erik L. Ridley[email protected]AIAuntMinnie.com Artificial Intelligence InsiderMarch 8, 2020CTAI can accurately quantify emphysema on CTAn artificial intelligence (AI) algorithm can provide fully automated quantification of emphysema, offering potential as a tool for image-based diagnosis and quantification of emphysema severity, according to research published online March 4 in the American Journal of Roentgenology.March 8, 2020CTAI unlocks screening potential of body CT examsArtificial intelligence (AI)-based assessment of body composition biomarkers on abdominal CT exams can more accurately stratify risk for future serious adverse events or death in asymptomatic patients than traditional clinical parameters, according to research published online March 2 in Lancet Digital Health.March 4, 2020Advanced VisualizationTeraRecon acquired by AI group SymphonyAIAdvanced visualization and artificial intelligence (AI) software developer TeraRecon has been acquired by SymphonyAI, a group of business-to-business AI companies that operate in a variety of industries. Terms of the deal were not disclosed.March 3, 2020AIFDA recognizes AI-based image acquisition softwareThe U.S. Food and Drug Administration (FDA) created a new regulatory classification for artificial intelligence (AI)-guided image acquisition and optimization software earlier in February when it cleared a new AI-based echocardiography acquisition application. An FDA representative detailed the new rule in a talk Wednesday at a public workshop.February 27, 2020AIWhat issues are hindering AI's utility in radiology?Artificial intelligence (AI) technology has much potential in radiology, but several key issues are limiting its current clinical utility, according to a presentation on Tuesday at a public workshop held by the U.S. Food and Drug Administration on the evolving role of AI in radiology.February 25, 2020Breast ImagingWeek in Review: DBT's viability for screening | Update on CT for COVID-19 | Ultrasound for deep vein thrombosisFebruary 21, 2020MRIAI predicts heart attack, stroke on cardiac MRIAn artificial intelligence (AI) algorithm that quantifies blood flow on cardiac MRI can predict -- perhaps better than a physician can -- if a patient will have a heart attack or a stroke, according to research published online February 14 in Circulation.February 20, 2020UltrasoundAI improves reader performance for ABUS studiesAn artificial intelligence (AI) algorithm could potentially help radiologists and other physicians improve their ability to classify lesions on automated breast ultrasound (ABUS) exams, according to research published online February 12 in Ultrasound in Medicine and Biology.February 13, 2020CTCT radiomics unlocks basal ganglia stroke onset timeThe combination of radiomics and a machine-learning algorithm can determine on CT if an ischemic stroke in the basal ganglia occurred within the window of time in which a stroke patient can still receive thrombolysis, according to research published online February 10 in the Journal of the Neurological Sciences.February 10, 2020Previous PagePage 64 of 389Next PageTop StoriesCTAI improves interreader CAD-RADS agreement on CCTAThe results suggest that "the use of [deep learning] to automate CAD-RADS evaluations holds potential to further reduce variability."CTWorld Trade Center attacks boosted lung cancer incidence in responders nearly 3-foldPractice Management'Circular' business models for replacing MRI scanners reduce costs, wasteAIAI chatbots aren't giving patients safety warnings for imaging examsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
