Erik L. Ridley[email protected]AIEducation is needed to harness power of AI in radiologyArtificial intelligence (AI) can enhance the business and operational side of radiology, but radiologists and practice managers should understand the technology before they consider adopting it, according to a talk on April 5 at the Radiology Business Management Association's Paradigm annual conference in San Diego.April 5, 2018BreastLess isn't always more with breast screening recall rateWhile high recall rates are considered one of the "harms" of mammography screening, a large-scale study published online April 3 in Radiology suggests that recall rates that are too low could lead to higher rates of interval cancers.April 3, 2018AIGoogle AI algorithm shows promise for chest x-raysHow many radiologist-annotated images are needed to train a deep-learning algorithm for radiology applications? Perhaps not as many as you might think. Using both annotated and unannotated images, researchers from Google have developed an algorithm that can simultaneously identify and localize disease found on chest x-rays.April 1, 2018UltrasoundAIUM: VA lags behind in use of point-of-care ultrasoundNEW YORK CITY - Few emergency departments at U.S. Department of Veterans Affairs (VA) hospitals are using point-of-care ultrasound for most of the modality's recommended applications, according to research presented on Monday at the American Institute of Ultrasound in Medicine (AIUM) annual meeting.March 28, 2018AI4 reasons why AI won't replace radiologistsAre you worried about artificial intelligence (AI) eliminating your job? Don't be. Even with the rapid development of AI, the great majority of radiologists will likely continue to have jobs in the decades to come, according to an article published online March 27 in the Harvard Business Review.March 26, 2018UltrasoundAIUM: Can deep learning classify liver fibrosis on US?NEW YORK CITY - A deep-learning algorithm that analyzes B-mode morphological ultrasound data and patient demographic information can classify the severity of liver fibrosis in cases of chronic liver disease, according to research presented at the American Institute of Ultrasound in Medicine (AIUM) conference.March 25, 2018ISAuntMinnie.com Imaging Informatics InsiderMarch 25, 2018AIAI method lowers radiation dose, speeds scanning timesAn artificial intelligence (AI) technique developed at Massachusetts General Hospital can enhance the reconstruction process for medical images, decreasing radiation dose in x-ray, CT, and PET scans and hastening MRI acquisition, according to research published online March 21 in Nature.March 22, 2018MRIMachine learning may identify medulloblastoma subtypesThe combination of machine learning and radiomics can predict the molecular subtypes of medulloblastoma, paving the way for early diagnosis and better treatment of this common cancerous pediatric brain tumor, according to research presented last week at the American Medical Informatics Association meeting in San Francisco.March 21, 2018AIIs artificial intelligence ethical in healthcare?Artificial intelligence technology holds much promise for improving the quality of healthcare, but there are crucial ethical issues that need to be considered for the benefits of machine learning to be realized, according to a perspective piece published March 15 in the New England Journal of Medicine.March 15, 2018Previous PagePage 101 of 389Next PageTop StoriesCT'Habitat' AI model shows promise for stratifying lung nodule disease risk on LDCTThis type of model has an edge on its 2D and radiomics counterparts, researchers reported.MRICE MRI-based radiomics model captures DEB TACE-induced tumor changesUltrasoundPOCUS performs well in assessing pathologic venous congestionCTMachine learning plus CT helps assess severity of COPDUltrasoundActive thyroid surveillance effective, beneficial for older patients
