Erik L. Ridley[email protected]AIAI tops recent imaging informatics highlightsArtificial intelligence (AI) has been the driving force behind the most important recent advances achieved in imaging informatics, according to a presentation last week at the Society for Imaging Informatics in Medicine (SIIM) annual meeting in Denver.July 2, 2019PACS/VNAAuntMinnie.com Imaging Informatics InsiderJuly 1, 2019AISIIM: AI can detect, classify TB on chest x-raysDENVER - An artificial intelligence (AI) algorithm can accurately detect, localize, and classify suspected tuberculosis (TB) on chest x-rays, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 30, 2019CTSIIM: AI exploits CT sinogram data to find lung nodulesDENVER - An artificial intelligence (AI) algorithm can accurately detect lung nodules on CT by analyzing both the reconstructed image and the raw sinogram data, according to research presented Thursday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 27, 2019AISIIM: AI can detect diseases of cerebral hemispheresDENVER - An artificial intelligence (AI) algorithm performed as well as an academic neuroradiologist for identifying diseases in the cerebral hemispheres on brain MRI scans in a new study, presented Wednesday at the Society for Imaging Informatics in Medicine (SIIM) annual meeting.June 26, 2019CTAI can help predict heart attacks, death on CCTAAn artificial intelligence (AI) algorithm can predict heart attacks and death better on coronary CT angiography (CCTA) studies than risk-assessment methods such as the Coronary Artery Disease Reporting and Data System, according to research published online June 25 in Radiology.June 25, 2019CTAI can improve reproducibility of radiomics in CTAn artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.June 23, 2019BreastAI enhances diagnostic performance in mammographyAn artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records can accurately diagnose breast cancer -- even in many cases in which cancers are missed by radiologists, according to research published online June 18 in Radiology.June 19, 2019AIAuntMinnie.com Artificial Intelligence InsiderJune 16, 2019PACS/VNACDs still prevail for giving patients access to imagesThe compact disk (CD) has increasingly become an obsolete form of storage that's no longer readily accessible by many computers. However, most hospitals still rely on this archaic medium to provide patients with copies of their imaging studies, according to research published online June 11 in Radiology.June 12, 2019Previous PagePage 81 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
