Erik L. Ridley[email protected]CTFDA clears Viz.ai's stroke detection softwareIn a move that blazes a regulatory trail for developers of imaging artificial intelligence (AI) software, the U.S. Food and Drug Administration (FDA) has given its blessing to Viz.ai for Contact, an AI-based application that analyzes CT images and notifies providers that a patient might be having a stroke.February 12, 2018BreastDeep-learning algorithm can assess breast densityA deep-learning algorithm can provide fully automated analysis of breast density on screening mammography exams, yielding density estimates that correlate well with assessments provided by radiologists, according to research published online January 24 in Medical Physics.February 8, 2018Nuclear MedicineFDA, NRC clear path for U.S. supply of molybdenum-99A U.S.-based supply of molybdenum-99 is finally at hand: The U.S. Food and Drug Administration (FDA) has approved NorthStar Medical Radioisotopes' RadioGenix isotope separation system, and the U.S. Nuclear Regulatory Commission (NRC) will license the system's production of technetium-99m for medical use.February 7, 2018AIHow will artificial intelligence enhance radiology?Success for artificial intelligence in radiology will be determined by its ability to increase diagnostic certainty, speed turnaround, yield better patient outcomes, and improve the work life of radiologists, according to an article published online February 4 in the Journal of the American College of Radiology.February 5, 2018AIReport: Interest surges in AI for radiologyWhile approximately one in four hospital radiology departments has either just adopted machine learning or has been using artificial intelligence (AI) for a while, most hospitals and imaging centers plan to utilize the technology before 2020, according to a new report from market research firm Reaction Data.February 5, 2018AICan AI learn how to understand radiologist reports?Can artificial intelligence (AI) technology learn how to understand radiologist reports? Yes, it can, and this capability could spark development of the next generation of deep-learning algorithms to aid radiologists, according to research published online January 30 in Radiology.January 31, 2018AIIs deep learning in radiology an art or a science?Is developing deep-learning algorithms for medical imaging applications an art or a science? It's much more of an art at the moment, according to an article from a team led by Dr. Bradley Erickson, PhD, of the Mayo Clinic in Rochester, MN, that was published online January 31 in the Journal of the American College of Radiology.January 31, 2018ISCyberattacks pose security risk to CT, MRI scannersMRI and especially CT scanners are vulnerable to cyberattacks such as the WannaCry virus, and manufacturers and healthcare providers must be aware of the risks and mechanisms behind potential attacks to create a safe healthcare environment and protect patients, according to an Israeli study published on arXiv.org.January 31, 2018Industry NewsLancet: Cancer survival rates improve but vary widelyWhile cancer survival rates are generally increasing worldwide, there are still wide and persistent disparities between countries, particularly for some childhood cancers, according to a large study of population-based survival trends published on Tuesday in Lancet.January 30, 2018CTAI, radiomics help distinguish lung nodules on CT scansThe combination of artificial intelligence (AI) algorithms and radiomics can distinguish malignant from benign lung nodules on noncontrast CT scans, potentially reducing the number of unnecessary surgical interventions in these cases, according to a multi-institutional team from Cleveland.January 30, 2018Previous PagePage 103 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
