Erik L. Ridley[email protected]AIAMVC Fall 2020: AI can reshape radiology post-COVID-19Artificial intelligence (AI) can help radiology navigate challenges related to remote practice and extreme variation in imaging volume caused by the COVID-19 pandemic, according to the first of a two-part article series on a presentation by Dr. Eliot Siegel at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC).September 22, 2020AIWill Medicare reimbursement propel radiology AI market?The decision by the U.S. Centers for Medicare and Medicaid Services' earlier this month to provide its first-ever reimbursement of a radiology artificial intelligence (AI) algorithm was a significant milestone for the industry, raising hopes that it could set the groundwork for broader coverage of imaging AI software.September 22, 2020AIAuntMinnie.com Artificial Intelligence InsiderSeptember 20, 2020AIAI can enhance evaluation of cancer response over timeRadiology reports created with help from artificial intelligence (AI) are more accurate and faster to produce than current reporting methods in evaluating the response of advanced cancer to treatment over time, according to research presented at the recent Conference on Machine Intelligence in Medical Imaging.September 17, 2020AIC-MIMI: AI peer review can spot missed lung cancerA peer review process that's driven by artificial intelligence (AI) can identify lung nodules that were overlooked by radiologists on CT exams, potentially enabling early detection of cancers that would have otherwise been missed, according to a Monday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).September 14, 2020Clinical NewsDoes experience matter in chest x-rays for COVID-19?A group of Italian researchers found the performance of radiologists for detecting COVID-19 pneumonia on chest x-rays grew over time as they gained experience -- a finding that even applied to those with less experience reading x-rays. They shared their results online September 10 in the European Journal of Radiology.September 13, 2020AIC-MIMI: Use of AI in radiology is evolvingThe use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).September 13, 2020Advanced VisualizationCT radiomics predicts esophageal cancer outcomesMachine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in JAMA Network Open.September 10, 2020AICan AI diagnose heart failure on chest x-rays?An artificial intelligence (AI) algorithm can provide a promising level of accuracy for diagnosing heart failure on chest radiographs, according to a presentation from Japanese researchers at the recent European Society of Cardiology virtual congress.September 7, 2020Image-Guided Surgery3D printing enhances planning of TAVR procedures3D-printed soft aortic root models with integrated electronic sensor arrays can improve the planning of transcatheter aortic valve replacement (TAVR) procedures in patients with aortic stenosis, potentially decreasing the risk of complications, according to research published online August 28 in Science Advances.September 7, 2020Previous PagePage 53 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
