Erik L. Ridley[email protected]AISurvey assesses worldwide opinion on radiology AIRadiologists and radiology residents from the U.S., the Netherlands, Germany, and the Czech Republic have teamed up to launch an online survey designed to gauge how members of the global radiology community view the use of artificial intelligence (AI) in their specialty.May 12, 2019MRIDeep-learning software accurately detects ACL tearsSoftware based on deep-learning algorithms provided fully automated diagnosis of full-thickness anterior cruciate ligament (ACL) tears on MRI scans at an accuracy level comparable to experienced clinical radiologists, according to research published online May 8 in Radiology: Artificial Intelligence.May 12, 2019MRIDeep learning finds, segments brain metastases on MRIA deep-learning algorithm automatically detected and segmented brain metastases on multisequence MRI, showing potential to help radiologists and radiation oncologists with these tedious and time-consuming tasks, according to research published online May 2 in the Journal of Magnetic Resonance Imaging.May 9, 2019AIAI finds radiologists vary in follow-up recommendationsAn artificial intelligence (AI) algorithm helped Harvard researchers conclude that radiologists in the same subspecialty division can vary significantly in how often they recommend follow-up imaging examinations, according to an article published online May 7 in Radiology.May 8, 2019CTCT 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, 2019Previous PagePage 80 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
