Erik L. Ridley[email protected]Breast 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, 2020AIAI predicts progression of osteoarthritis on x-raysAn artificial intelligence (AI) algorithm can predict how osteoarthritis will progress over four years based on analysis of baseline knee x-rays and other risk factors, according to research published online February 6 in Osteoarthritis and Cartilage.February 9, 2020AI14 ways AI can improve the business of radiologyBusiness analytics based on artificial intelligence (AI) can create value for radiology practices by improving processes, optimizing resources, and enhancing workflow, according to an article published in the current issue of Seminars in Musculoskeletal Radiology.February 6, 2020MRIAI may help improve management of stroke patientsArtificial intelligence (AI) algorithms can determine from multiparametric MRI exams if a stroke patient's symptoms began within 4.5 hours -- the recommended window of time for a patient to be treated with thrombolysis, according to research published online January 28 in Stroke.February 4, 2020UltrasoundAI helps characterize breast masses on ultrasoundA breast ultrasound artificial intelligence (AI) algorithm was able to differentiate breast masses at a high level of accuracy by combining analysis of B-mode and color Doppler images, according to research published online January 31 in European Radiology. It even yielded comparable performance to experienced radiologists.February 3, 2020AIAuntMinnie.com Artificial Intelligence InsiderFebruary 2, 2020MRIDeep learning distinguishes between Alzheimer's, iNPHA deep-learning algorithm can differentiate between Alzheimer's disease and idiopathic normal pressure hydrocephalus (iNPH) on MRI scans at a comparable accuracy to radiologists, according to research published online January 22 in Magnetic Resonance in Medical Sciences.February 2, 2020Previous PagePage 64 of 389Next PageTop StoriesUltrasoundPOCUS performs well in assessing pathologic venous congestionPoint-of-care ultrasound (POCUS) showed success in venous excess ultrasound assessment of critically ill patients.CTMachine learning plus CT helps assess severity of COPDUltrasoundActive thyroid surveillance effective, beneficial for older patientsMolecular ImagingFES-PET shows promise staging women with invasive lobular cancerCTStructured CT reporting tool may aid hernia detection after bariatric surgery
