Erik L. Ridley[email protected]ISAuntMinnie.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, 2018MRINIH wraps up enrollment for adolescent brain studyThe U.S. National Institutes of Health (NIH) has finished enrollment for its Adolescent Brain Cognitive Development study, which will be the largest long-term U.S. study to track brain development in children.December 4, 2018AIBeyond the black box? AI algorithm explains decisionsYale University researchers have developed an artificial intelligence (AI) algorithm for classifying liver lesions on MRI scans that explains the reason for its decisions. The algorithm could address concerns about the "black box" nature of AI, according to research presented at last week's RSNA 2018 meeting.December 4, 2018AIAuntMinnie.com Artificial Intelligence InsiderDecember 2, 2018AISurvey finds German medical students don't fear AICHICAGO - While the majority of medical students in Germany are aware of the discussion of artificial intelligence (AI) in radiology, most are unafraid of being replaced by AI and are optimistic that it will improve radiology as well as medicine in general, according to research presented on Thursday at the RSNA 2018 meeting.November 28, 2018MRIfMRI finds brain alterations in gaming addictionFunctional MRI (fMRI) exams have revealed that internet gaming disorder is associated with gender-specific changes in the brain. Men have alterations in brain regions that affect impulse control, while women do not, according to research presented on Wednesday at the RSNA meeting in Chicago.November 27, 2018CTAI reliably characterizes pulmonary nodules on CTCHICAGO - An artificial intelligence (AI) algorithm can outperform radiologists in stratifying the risk of pulmonary nodules found on low-dose CT lung screening exams, potentially helping to detect cancer earlier and reduce unnecessary workups, according to research presented on Wednesday at the RSNA meeting.November 27, 2018ISAI could thwart -- and enable -- imaging cyberattacksArtificial intelligence (AI) algorithms may help prevent cyberattacks on medical imaging equipment, but they could also be used to alter images in a manner that would be difficult for radiologists to detect, according to research being presented this week at RSNA 2018 in Chicago.November 26, 2018AIDeep-learning algorithms need real-world testingCHICAGO - Although they may yield impressive performances on carefully selected datasets, artificial intelligence algorithms need to be tested on real-world cases prior to being deployed in clinical practice, according to research presented on Tuesday at the RSNA meeting.November 26, 2018Previous PagePage 91 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
