Erik L. Ridley[email protected]Artificial IntelligenceAI can detect cirrhosis accurately on MRIAn artificial intelligence (AI) algorithm can identify cirrhosis on standard T2-weighted liver MRI exams at a level comparable to that of an expert reader, offering promise as a tool for improving detection, German researchers reported in a presentation at the virtual 2020 RSNA meeting.December 6, 2020Artificial IntelligenceMachine learning helps identify cystic renal lesionsA machine-learning model based on CT radiomics analysis has achieved excellent diagnostic performance in distinguishing benign from malignant complex cystic renal lesions, outperforming the current Bosniak classification system, Canadian and French investigators reported at the RSNA 2020 meeting.December 6, 2020Artificial IntelligenceHow can deep learning improve chest CT workflow?Global teleradiology specialists have outlined how they created a deep-learning model that can be used to prioritize -- at a high level of specificity -- injured patients with free-air findings on abdomen or chest CT examinations. They presented their results at the RSNA 2020 meeting.December 6, 20203D PrintingAuntMinnieEurope.com Advanced Visualization InsiderNovember 18, 2020Clinical NewsAutomated lung CT analysis predicts COVID-19 outcomesAutomated assessment of ground-glass opacities on lung CT exams in patients with suspected COVID-19 correlates well with clinical outcomes and shows potential as an objective biomarker for evaluating the severity of lung injury, according to research published online on 13 November in Anaesthesia Critical Care & Pain Medicine.November 18, 2020Clinical NewsU.K. report puts focus on getting it right first timeA group of senior U.K. radiologists has unveiled a report called Getting It Right First Time. Among its recommendations are the creation of 18 imaging networks, dedicated facilities for interventional radiology day-case patients, national protocols for imaging common conditions, and real-time demand management tools for diagnostic and interventional workflows.November 11, 2020Artificial IntelligenceHow can AI improve prognosis and therapy for glioblastoma?Investigators from a top London facility have shown how artificial intelligence (AI) can pinpoint sarcopenia on routine brain MRI scans of patients with glioblastoma. The work helps make it easier to predict how long patients may survive this aggressive cancer.November 2, 2020Artificial IntelligenceOxford team warns of industry influence on AI regulationA research group from the University of Oxford in the U.K. has highlighted the involvement of industry in comments on a proposed draft regulation of AI algorithms in the U.S. In an article posted online by BMJ Open, the authors have voiced concern about possible bias.October 26, 2020Clinical NewsNew research highlights progress in residual breast cancerImage-guided biopsy of the tumor bed or residual abnormalities found on imaging after neoadjuvant chemotherapy is gaining popularity as a predictive tool for assessing residual cancer. The technique can help to identify exceptional treatment responders for de-escalation of local therapy, an international study has found.October 19, 2020Artificial IntelligenceWomen express caution about trusting breast AIA research group from the University of Groningen in the Netherlands surveyed more than 900 Dutch women in April 2020 to gauge their attitudes on using artificial intelligence (AI) for interpretation of screening mammograms. Over 75% of women didn't approve of standalone use of AI without a radiologist.October 18, 2020Previous PagePage 9 of 58Next PageTop StoriesCTBelgium moves ahead with novel radiology referral schemeAn initiative is underway in Belgium to improve the justification and appropriateness of radiology referrals. But will it succeed? Prof. Erik Ranschaert gives his opinion.CTAssessing CT image quality: Which method is best?CTCT pearls from Ireland’s top orthopedic hospitalMolecular ImagingSPECT/CT identifies prostate cancer patients with poor outcomesUltrasoundMore ultrasound cuts risks in pregnancies with less fetal movement