Erik L. Ridley[email protected]BreastImage-guided biopsy spots residual breast cancerImage-guided biopsies performed after breast cancer patients have been treated with neoadjuvant chemotherapy can predict the presence of residual cancer, potentially avoiding the need for surgery, a multinational team of researchers reported in an article published online October 7 in JAMA Surgery.October 6, 2020AICORISK algorithm predicts oxygen need in COVID-19 patientsA deep-learning algorithm called CORISK can predict if a patient with COVID-19 symptoms will need supplemental oxygen. CORISK was developed using a federated-learning initiative involving 20 hospitals worldwide, performs well, and is generalizable, according to an announcement Monday at the Nvidia GPU Technology Conference.October 4, 2020AIAI algorithm spots, classifies edema on chest x-raysAn artificial intelligence (AI) algorithm trained using chest x-rays and associated free-text radiology reports was able to find and detect the severity of pulmonary edema, potentially helping physicians to anticipate heart failure and manage conditions, according to its developers.October 4, 2020CTAlgorithm detects LVO stroke on multiphase CTAAn artificial intelligence algorithm can be extremely sensitive for detecting large-vessel occlusion (LVO) on multiphase CT angiography (CTA) scans, potentially speeding up diagnosis and hastening stroke treatment in these patients, according to research published online September 29 in Radiology.September 28, 2020AIAI training sets often aren't geographically diverseClinical artificial intelligence (AI) algorithms across multiple disciplines -- including radiology -- are disproportionately trained on patient cohorts from three states: California, Massachusetts, and New York, according to a research letter published September 22 in the Journal of the American Medical Association.September 28, 2020AIAMVC Fall 2020: AI can improve efficiency, reduce stressThe second article in a two-part series on Dr. Eliot Siegel's presentation at AuntMinnie.com's Fall 2020 Virtual Conference (AMVC) details how artificial intelligence (AI) could help radiologists be more efficient and productive -- as well as less stressed -- during and after the COVID-19 pandemic.September 23, 2020AIAMVC 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, 2020Previous PagePage 56 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
