Erik L. Ridley[email protected]AIAI 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, 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, 2018Previous PagePage 87 of 389Next PageTop StoriesAIU.S. FDA may need to clarify SaMD validation standardsIn a video interview, a Dana-Farber Cancer Institute expert describes what the "rigor spectrum" is in validation study designs.Molecular ImagingPSMA-PET/CT may replace NaF-PET/CT in advanced prostate cancerWomens ImagingPreop breast MRI improves surgical planning, but use disparities remainWomens ImagingFIGO classification from MRI leads to moderate agreement among radsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
