Erik L. Ridley[email protected]AIRoad to RSNA 2020: Artificial IntelligenceWelcome to the first installment of this year's Road to RSNA preview of the RSNA 2020 meeting. Although RSNA 2020 will be held virtually due to the COVID-19 pandemic, attendees will find no shortage of scientific and educational content. And as in recent years, artificial intelligence will have a dominant presence at the meeting.November 8, 2020AIUse cases expand, solidify for AI across subspecialtiesOur journey on the Road to RSNA continues with a look at artificial intelligence (AI) topics and issues in subspecialty areas such as breast imaging, emergency radiology, neuroradiology, pediatric radiology, interventional radiology, and physics.November 8, 2020AIAI shows growing maturity in RSNA informatics sessionsMore than half of the several hundred informatics abstracts submitted for RSNA 2020 involved artificial intelligence (AI), and these submissions tended to reflect a growing maturity in the AI space, according to Dr. Nabile Safdar, chairman of the RSNA Scientific Program Committee's radiology informatics subcommittee.November 8, 2020AIRadiology residents benefit from education in AIFourth-year radiology residents benefitted from a pilot program that included formal instruction in artificial intelligence (AI) and machine learning as well as collaboration with data scientists on developing models, according to a special report published online November 4 in Radiology: Artificial Intelligence.November 5, 2020BreastConcurrent use of AI helps radiologists on mammographyUsing an artificial intelligence (AI) algorithm concurrently during interpretation can help radiologists to enhance their diagnostic performance on screening mammography studies, according to research published online November 4 in Radiology: Artificial Intelligence.November 3, 2020MRIAI can identify sarcopenia in glioblastoma patientsAn artificial intelligence (AI) algorithm can identify sarcopenia on routine brain MRI scans of patients with glioblastoma, enabling predictions of how long the patient might survive this aggressive cancer, researchers will report at next week's National Cancer Research Institute Virtual Showcase in the U.K.October 29, 2020Molecular ImagingRadiomics can aid management of lung cancer patientsResearchers from the H. Lee Moffitt Cancer Center and Research Institute in Tampa, FL, have reported that CT radiomics features can help predict tumor behavior in screening-detected lung cancer. They've also found that PET/CT radiomics shows promise for guiding non-small cell lung cancer treatment decisions.October 25, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderOctober 21, 2020Image ProcessingMRI biomarker portends preterm infant development risksA quantitative MRI software application can predict which preterm infants will go on to develop motor development disorders such as cerebral palsy, potentially enabling risk stratification and early interventions in these children, according to research published online September 28 in Scientific Reports.October 19, 2020AIFeedback on FDA's proposed AI rules had industry tiesNearly two-thirds of commenters on last year's proposed regulatory framework from the U.S. Food and Drug Administration (FDA) for continuously learning artificial intelligence (AI) algorithms had financial ties to industry, while an additional 29% had unclear ties, according to a study posted online October 14 in BMJ Open.October 15, 2020Previous PagePage 51 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
