Erik L. Ridley[email protected]MRICan Legos make MRI scans less scary for patients?Can an MRI scanner made out of Legos help nervous or claustrophobic patients get over their fear of receiving an MRI scan? A U.K. radiologic technologist believes it can. He has submitted his idea for a Lego replica of an open MRI scanner to the Danish toy manufacturer.January 13, 2019MRIMachine learning, fMRI unlock cellular brain propertiesThe combination of machine learning and functional MRI (fMRI) can reveal the cellular properties of brain regions, offering potential for noninvasive assessment of treatments for neurological diseases and the use of individualized therapies, according to research published online January 9 in Science Advances.January 10, 2019Radiation Oncology/TherapyWhat can rad onc residents expect in the job market?What can radiation oncology residents expect to find in the job market upon graduation? Much depends on whether they find employment in an academic setting or in private practice, according to research published online January 2 in the Journal of the American College of Radiology.January 8, 2019CTUse of emergency chest imaging on the riseLed by significant growth in the use of CT, the utilization of noncardiac chest imaging increased markedly in the emergency department during the past few decades, according to research from the Harvey L. Neiman Health Policy Institute published online January 2 in the Journal of the American College of Radiology.January 7, 2019AIAI bolsters diagnostic accuracy of thyroid ultrasoundCan an artificial intelligence (AI) algorithm enhance the diagnostic accuracy of radiologists in detecting thyroid cancer on ultrasound studies? Yes, it can, according to research published online December 21 in Lancet Oncology.January 6, 2019AIAI could help radiologists track follow-up adviceArtificial intelligence (AI) algorithms can identify follow-up recommendations included in radiology reports, potentially giving radiologists a tool to ensure their recommendations have been followed, according to research published online December 29 in the Journal of the American College of Radiology.January 3, 2019ISNatural language processing yields rad-path correlationThe combination of open-source natural language processing technology and commonly used radiology structured reporting systems can facilitate correlation between radiologic and pathologic findings, according to research presented at the recent RSNA 2018 meeting in Chicago.December 18, 2018AINew algorithm overcomes imaging AI challengesResearchers have developed a new artificial intelligence (AI) algorithm designed to address two of the biggest challenges in imaging AI: its "black box" nature and the need for large amounts of image data to train the models, according to a study published online December 17 in Nature Biomedical Engineering.December 17, 2018ISAuntMinnie.com Imaging Informatics InsiderDecember 16, 2018CTAI algorithm detects all intracranial hemorrhage typesAn artificial intelligence (AI) algorithm can detect all types of intracranial hemorrhage on noncontrast head CT studies, showing potential for use in all clinical scenarios that involve detecting and tracking this critical condition, according to research presented at the recent RSNA 2018 meeting in Chicago.December 5, 2018Previous PagePage 86 of 389Next PageTop StoriesCTStructured CT reporting tool may aid hernia detection after bariatric surgeryIn hospital emergency departments, Roux-en-Y gastric bypass (RYGB) patients may present with abdominal pain following surgery.MRIHigher ventricular and atrial heart volumes boost cardiac disease riskWomens ImagingHybrid AI reading shows success in breast cancer screeningPractice ManagementThe hidden link between image quality and diagnostic confidenceMRIUltrasound plus MRI helps diagnose pain from rotator cuff tendinopathy
