Erik L. Ridley[email protected]AIHow 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, 2018AIAuntMinnie.com Artificial Intelligence InsiderJanuary 28, 2018ISCMS delay of decision support creates opportunitiesLast year's decision by the U.S. Centers for Medicare and Medicaid Services (CMS) to delay implementation of imaging clinical decision-support requirements until 2020 creates an opportunity to win over skeptical clinicians, according to a January 24 webinar from the Society for Imaging Informatics in Medicine.January 24, 2018MRIMachine learning predicts working-memory performanceCan the combination of a machine-learning algorithm and diffusion MRI metrics of brain white-matter microstructure serve as a useful method for the early prediction of working-memory impairment? It appears possible, according to recent research from NYU Langone Medical Center in New York City.January 22, 2018Previous PagePage 104 of 389Next PageTop StoriesDigital X-RayBone-RADS improves accuracy for junior, attending physicansACR's Bone-RADS led to improved diagnostic accuracy for junior and attending physicians, but lower accuracy for senior physicians.MRIMRI, CT, ultrasound biomarkers help identify Crohn disease stricturesWomens ImagingLow breast cancer screening prevalence tied to socioeconomic factorsMolecular ImagingPET/CT reveals ‘chemo brain’ regions in leukemia patientsAIStanford AIDE lab proposes radiology AI safety monitoring model
