4 reasons why AI won't replace radiologists
March 27, 2018 -- Are 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.  Discuss
AIUM: Can deep learning classify liver fibrosis on US?
March 26, 2018 -- 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.  Discuss
AI method lowers radiation dose, speeds scanning times
March 23, 2018 -- An 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.  Discuss
Machine learning may identify medulloblastoma subtypes
March 22, 2018 -- The 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.  Discuss
New algorithm helps identify negative report findings
March 21, 2018 -- A new open-source algorithm developed at the U.S. National Institutes of Health can identify negative and uncertain findings in radiology reports -- and could eventually help guide radiologists as they interpret images, according to a March 15 presentation at the American Medical Informatics Association meeting in San Francisco.  Discuss
Is artificial intelligence ethical in healthcare?
March 16, 2018 -- 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.  Discuss
Deep learning may produce sharp reductions in DBT dose
March 14, 2018 -- An artificial intelligence algorithm may enable breast imagers to sharply reduce radiation dose from digital breast tomosynthesis (DBT) exams -- perhaps by as much as 80%, according to research presented last month at the SPIE Medical Imaging 2018 conference in Houston.  Discuss
Vessel-subtracting CAD boosts CT lung cancer screening
March 9, 2018 -- By suppressing vessels from lung cancer screening CT scans, a computer-aided detection (CAD) algorithm helped radiologists improve their ability to spot nodules as well as reduce their interpretation times, according to an article published in the March issue of the American Journal of Roentgenology.  Discuss
Top 5 trends from ECR 2018 in Vienna
March 8, 2018 -- The huge red dragon that dominated the registration area of ECR 2018 looked amazing in everybody's photos, but what were the lasting impressions and meaningful issues to take away from this year's congress in a decidedly chilly Vienna? Our editorial team has put together a list of the five key themes.  Discuss
AI can help distinguish lung nodules on CT scans
March 2, 2018 -- VIENNA - Artificial intelligence (AI) offers value in characterizing nodules on CT lung cancer screening exams, possibly reducing the number of benign cases that are unnecessarily worked or followed up, according to a pair of Thursday presentations at ECR 2018.  Discuss