Erik L. Ridley[email protected]AIDeep learning shows promise for reading chest x-raysCHICAGO - A deep-learning method offers potential for providing a "human-like" diagnosis on chest x-rays, a group from the U.S. National Institutes of Health (NIH) Clinical Center reported this week at the 2016 RSNA meeting.November 29, 20162016For the patient's sake, radiology reports must be clearCHICAGO - Patients may perceive terminology in radiology reports differently than radiologists do, so it's important that radiologists use clear language when describing their findings, according to a study presented on Tuesday at RSNA 2016.November 29, 2016PACS/VNAIt helps to correlate radiology, pathology in PACSCHICAGO - Correlating radiology and pathology results directly within PACS software can save time and improve efficiency for radiologists who perform image-guided procedures, according to a presentation on Sunday at RSNA 2016.November 26, 2016PACS/VNATop 10 lessons for planning enterprise imaging strategyIt can be tough to allot time for strategic planning in today's busy world. But it's definitely worth the effort to develop a detailed and meaningful strategic plan for enterprise imaging, according to a November 17 webinar sponsored by the Society for Imaging Informatics in Medicine.November 20, 2016UltrasoundCan deep learning characterize breast tumors on SWE?Deep learning can accurately differentiate benign and malignant breast tumors on ultrasound shear-wave elastography (SWE) and outperform methods typically used in computer-aided diagnosis software, according to research published in the December issue of Ultrasonics.November 14, 2016UltrasoundMath functions add color, detail to ultrasound imagesCan mathematical functions from 19th-century France help improve the quality of ultrasound images today? Researchers from the University of Rochester in Rochester, NY, say they can, serving as the basis for a method that uses color coding to reveal fine details that have previously been obscured.November 10, 2016PACS/VNACan one PACS display be just as good as two?Radiologists can be faster and achieve the same level of diagnostic performance on one 8-megapixel PACS display as they can using a common dual 5-megapixel display configuration, according to research published online recently in the Journal of Digital Imaging.November 7, 2016Advanced VisualizationDeep learning shows promise for reading chest x-raysMonday, November 28 | 12:15 p.m.-12:45 p.m. | IN211-SD-MOA2 | Lakeside, IN Community, Station 2A deep-learning method could be used to provide a more "human-like" diagnosis on chest x-rays, according to a group from the U.S. National Institutes of Health Clinical Center.November 7, 2016Advanced VisualizationDeep learning + CADx combo performs best in breast tumorsMonday, November 28 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this talk, researchers will describe how the combination of deep convolutional neural networks and computer-assisted diagnosis (CADx) software yields improved diagnostic performance in differentiating breast tumors on full-field digital mammography and ultrasound.November 7, 2016Advanced VisualizationDeep learning can find, label images in PACSSunday, November 27 | 12:30 p.m.-1:00 p.m. | IN200-SD-SUA1 | Lakeside, IN Community, Station 1In this poster presentation, researchers will highlight the potential of deep-learning techniques for categorizing and labeling images stored on PACS archives.November 7, 2016Previous PagePage 128 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
