Erik L. Ridley[email protected]CTDeep-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, 2020CTDeep learning gives a boost to CT image reconstructionDeep learning-based image reconstruction algorithms can yield higher pediatric CT image quality and lower radiation dose than other conventional reconstruction techniques such as statistical-based iterative reconstruction (SBIR), according to research published online November 17 in Radiology.November 22, 2020Image ProcessingRadiomics enables prediction of invasive adenocarcinomaA machine-learning algorithm based on radiomics features of pure ground-glass nodules on CT can yield a promising level of accuracy for differentiating noninvasive from invasive pulmonary adenocarcinoma prior to surgery, according to research published online November 10 in Clinical Radiology.November 18, 2020Previous PagePage 53 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
