Erik L. Ridley[email protected]Advanced VisualizationCT radiomics characterizes complex cystic renal lesionsA machine-learning algorithm based on CT radiomics analysis can enable better preoperative risk classification of complex cystic renal lesions than relying only on the traditional Bosniak classification criteria, according to an international multicenter study presented Friday at the virtual RSNA 2020 meeting.December 6, 2020MRIFederated learning may boost AI generalizabilityTraining deep-learning algorithms with a federated-learning approach could help address the challenge of improving the performance of radiology artificial intelligence (AI) software across institutions, according to a presentation in a scientific session at this week's virtual RSNA 2020 meeting.December 2, 2020CTDeep-learning algorithm detects free air on CT imagesA deep-learning algorithm was able to detect and quantify regions of free air on CT images, enabling patients with these critical pathologies to be prioritized on the radiology worklist, according to a presentation on Wednesday morning at the virtual RSNA 2020 meeting.December 2, 2020CTAI abdominal fat analysis assesses cardiovascular riskBody composition metrics automatically calculated from abdominal CT exams by an artificial intelligence (AI) algorithm are significantly associated with patient risk for future major cardiovascular events, according to a Wednesday morning presentation at the RSNA 2020 virtual meeting.December 1, 2020CTMachine-learning model predicts adverse cardiac outcomesA machine-learning algorithm for analysis of coronary CT angiography exams was able to predict major adverse cardiac events at a higher level of accuracy than other traditional risk scores and risk factors, according to a presentation on Tuesday morning at the virtual RSNA 2020 meeting.November 30, 2020BreastCan AI be a second reader in breast cancer screening?An artificial intelligence (AI) algorithm could obviate the need for a second radiologist to review a screening mammogram in more than four out of five exams performed for a national breast cancer screening program, according to a presentation on Monday morning at the virtual RSNA 2020 meeting.November 29, 2020MRIAI algorithm can detect, quantify brain infarctsResearchers discussed how they used a deep-learning algorithm to detect, quantify, and assess the severity of infarcts in the brain on diffusion-weighted MRI exams in acute ischemic stroke patients in a Sunday presentation at the virtual RSNA 2020 meeting.November 28, 2020AIAI can detect COVID-19 quickly, accurately on x-raysWithin seconds, an artificial intelligence (AI) algorithm can assess chest x-rays for the presence of COVID-19, enabling rapid screening and triage of patients arriving at hospitals for reasons other than the virus, according to research published online November 24 in Radiology.November 24, 2020AIAuntMinnie.com Artificial Intelligence InsiderNovember 23, 2020Advanced Visualization3D-printed nasal swabs aid fight against COVID-193D-printed nasopharyngeal swabs perform just as well as traditional flocked swabs used to collect nasal secretions for COVID-19 tests, according to results of a clinical trial scheduled to be presented at the upcoming virtual RSNA 2020 meeting.November 22, 2020Previous PagePage 53 of 393Next PageTop StoriesHomeLLMs mostly avoid unnecessary care in Choosing Wisely testsLLMs recommended potentially unnecessary care in about 5% of responses, with many being thyroid ultrasound tests.Nuclear MedicineEANM: Thomas Hope on what’s next in FAP-targeted theranosticsCardiac ImagingMRI shows no ties between COVID, future heart inflammationMolecular ImagingEANM: Next-generation PET scanner cuts imaging time to one minuteAugmented/Virtual RealityVR boosts accuracy, confidence for evaluating abdominal neuroblastoma
