Erik L. Ridley[email protected]MRIFunctional, diffusion MRI could benefit from AIFor a variety of reasons, functional and diffusion MRI haven't been particularly hot research areas for artificial intelligence (AI). But these advanced imaging modalities do offer a ripe opportunity, according to a presentation at the virtual 2020 American Society of Neuroradiology meeting.June 7, 2020Advanced Visualization3D-printed swabs make the grade for COVID-19 testingNasopharyngeal swabs produced by 3D printing can provide comparable results to traditional swabs for SARS-CoV-2 reverse transcription polymerase chain reaction testing, according to research from Beth Israel Deaconess Medical Center recently published online in the Journal of Clinical Microbiology.June 4, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderJune 2, 2020CTAI boosts assessment of cancer treatment responseArtificial intelligence (AI) software can significantly enhance assessment of cancer treatment response on serial CT exams by reducing errors, speeding up interpretations, and decreasing interobserver variability, according to research presented May 29 at the online American Society of Clinical Oncology meeting.June 2, 2020Advanced VisualizationAI can handle quality assessment of 3D cardiac MRIAn artificial intelligence (AI) algorithm can automatically assess image quality on 3D whole-heart cardiac MR images, achieving results similar to a human expert, according to research published online May 27 in Radiology: Artificial Intelligence.June 1, 2020CTAI can aid radiologists in detecting pancreatic cancerAn artificial intelligence (AI) algorithm helped radiologists from Taiwan improve their performance in detecting pancreatic cancer on CT exams, demonstrating strong performance across a range of ethnicities, according to research published online May 26 in Lancet Digital Health.May 31, 2020MRIGadolinium levels increase sharply in Tokyo riversThe amount of gadolinium found in rivers around Tokyo has risen sharply over the last two decades, in line with a rapid proliferation of MRI scanners and an increasingly aging population that receives more contrast-enhanced exams, according to research published in the May issue of Marine Pollution Bulletin.May 27, 2020PACS/VNAAt-home PACS workstations enable social distancingRadiology departments can rapidly transition to mostly remote interpretations by radiologists at home during the COVID-19 pandemic, but they will need to navigate a number of difficult challenges along the way, according to a clinical perspective published online May 21 in the American Journal of Roentgenology.May 21, 2020CTCan machine-learning models predict IR outcomes?Machine-learning algorithms can utilize nonimaging data such as patient demographics and prior medical history to predict outcomes from interventional radiology (IR) procedures, according to research published online May 4 in the Journal of Vascular and Interventional Radiology.May 21, 2020CTAI can detect, quantify traumatic brain injury on CTAn artificial intelligence (AI) algorithm was able to help accurately detect traumatic brain injury (TBI) on head CT exams, as well as assess the type of injury, quantify lesion burden, and measure lesion progression, U.K. researchers reported in an article published online May 14 in Lancet Digital Health.May 19, 2020Previous PagePage 59 of 389Next PageTop StoriesAIU.S. FDA may need to clarify SaMD validation standardsIn a video interview, a Dana-Farber Cancer Institute expert describes what the "rigor spectrum" is in validation study designs.Molecular ImagingPSMA-PET/CT may replace NaF-PET/CT in advanced prostate cancerWomens ImagingPreop breast MRI improves surgical planning, but use disparities remainWomens ImagingFIGO classification from MRI leads to moderate agreement among radsSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
