Erik L. Ridley[email protected]CTCT tube voltage doesn't affect AI FFR-CT analysisAn artificial intelligence (AI) algorithm for estimating fractional flow reserve on coronary CT angiography (FFR-CT) had the same level of performance when used with CT tube voltages of either 100 or 120 kVp, according to research posted online April 30 in the American Journal of Roentgenology.May 7, 2019BreastDeep learning enhances breast cancer risk assessmentBy analyzing subtle imaging patterns on screening mammograms that may portend future cancer, a deep-learning algorithm can beat current breast cancer risk-assessment methods that only assess traditional risk factors such as breast density and family history, according to research published online May 7 in Radiology.May 6, 2019PACS/VNAARRS: PACS upgrade slashes image reading timeSometimes, little things make a big difference. Pennsylvania researchers improved the efficiency of their radiologists by tweaking their PACS software to look for prior imaging exams with more specific search criteria, according to research presented at the American Roentgen Ray Society (ARRS) annual meeting in Honolulu.May 5, 2019MRIAI model could enable gadolinium-free cardiac MRIResearchers developed an artificial intelligence (AI) algorithm that accurately detected chronic myocardial infarction on noncontrast-enhanced cardiac cine MRI, potentially obviating the need for gadolinium-based contrast agents in these patients, according to research published online April 30 in Radiology.May 1, 2019AIRadiology is leading by example when it comes to AIThe radiology community's proactive response to the adoption of artificial intelligence (AI) offers an important lesson to other clinical specialties in how they should prepare for the new era of AI, according to an editorial published online April 25 in the Yearbook of Medical Informatics.April 30, 2019AIAuntMinnie.com Artificial Intelligence InsiderApril 28, 2019AICan radiomics detect pancreatic ductal adenocarcinoma?Radiomics and a machine-learning algorithm can differentiate pancreatic ductal adenocarcinoma from a normal pancreas on CT studies, potentially enabling earlier diagnosis of this highly lethal cancer, according to research published online April 23 in the American Journal of Roentgenology.April 24, 2019AIAI can identify, classify prostate cancer on mpMRIAn artificial intelligence (AI) algorithm called FocalNet was able to identify prostate cancer on multiparametric MRI (mpMRI) nearly as well as experienced radiologists and also predicted the lesion's aggressiveness, according to research presented at the recent IEEE International Symposium on Biomedical Imaging in Venice, Italy.April 17, 2019AIAI can spot malpositioned catheters on pediatric x-raysAn artificial intelligence (AI) algorithm can automatically analyze pediatric x-rays to identify patients with incorrectly positioned catheters, potentially enabling these studies to be triaged for priority review by radiologists, according to research published online April 10 in the Journal of Digital Imaging.April 16, 2019AIThe 5 things radiology needs to speed up AI useWhat's needed to accelerate advances in artificial intelligence (AI) in radiology? New image reconstruction methods, automated image labeling and annotation techniques, pretrained model architectures, explainable AI, and imaging data aggregation are all needed, according to a special report published April 16 in Radiology.April 15, 2019Previous PagePage 84 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
