Erik L. Ridley[email protected]AIAuntMinnie.com Artificial Intelligence InsiderJanuary 28, 2018ISCMS delay of decision support creates opportunitiesLast year's decision by the U.S. Centers for Medicare and Medicaid Services (CMS) to delay implementation of imaging clinical decision-support requirements until 2020 creates an opportunity to win over skeptical clinicians, according to a January 24 webinar from the Society for Imaging Informatics in Medicine.January 24, 2018MRIMachine learning predicts working-memory performanceCan the combination of a machine-learning algorithm and diffusion MRI metrics of brain white-matter microstructure serve as a useful method for the early prediction of working-memory impairment? It appears possible, according to recent research from NYU Langone Medical Center in New York City.January 22, 2018ISChange buys National Decision Support CompanyIn a bid to advance its goal of providing evidence-based clinical intelligence at the point of care, healthcare information systems company Change Healthcare has purchased clinical decision-support software firm National Decision Support Company.January 17, 2018ISMobile App Spotlight: Case appAuntMinnie.com presents the next article in an ongoing series highlighting notable mobile apps in radiology. In this installment, we take a look at Case, an iOS and Android app developed by mobile app start-up Kernel, designed to help medical researchers and specialists keep up with the latest research.January 16, 2018Nuclear MedicineArtificial intelligence guides lower PET tracer doseIn PET imaging, the amount of radiotracer dose correlates with the level of image quality. But what if artificial intelligence (AI) could enable PET to be performed using only 1% of current dose levels -- speeding exam times, decreasing radiation exposure, lowering costs, and alleviating shortages in radiotracers?January 10, 2018UltrasoundQuantitative analysis may help classify thyroid nodulesThe echogenicity of solid thyroid nodules is often assessed qualitatively during evaluation on ultrasound. But this task can also be performed quantitatively, potentially offering a useful tool for determining malignancy risk, according to research presented at the RSNA 2017 meeting in Chicago.December 21, 2017AIAI can spot large pneumothoraces on chest x-rayArtificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray exams -- potentially speeding up the detection and reporting of these critical findings, according to research presented at the RSNA 2017 meeting in Chicago.December 19, 2017Image ProcessingFDA issues new draft guidance for medical software, CDSThe U.S. Food and Drug Administration (FDA) has released new draft guidance documents for medical software and clinical decision-support (CDS) software in response to regulatory changes mandated by the 21st Century Cures Act.December 10, 2017AIIs seeing believing in imaging artificial intelligence?Sometimes seeing is believing. An imaging artificial intelligence algorithm that can show why it made its diagnosis can go a long way toward building radiologist confidence in its findings, according to a scientific presentation at the recent RSNA 2017 meeting in Chicago.December 7, 2017Previous PagePage 104 of 389Next PageTop StoriesCT'Habitat' AI model shows promise for stratifying lung nodule disease risk on LDCTThis type of model has an edge on its 2D and radiomics counterparts, researchers reported.MRICE MRI-based radiomics model captures DEB TACE-induced tumor changesUltrasoundPOCUS performs well in assessing pathologic venous congestionCTMachine learning plus CT helps assess severity of COPDUltrasoundActive thyroid surveillance effective, beneficial for older patients
