Erik L. Ridley[email protected]CTDeep learning gives a boost to CT image reconstructionDeep learning-based image reconstruction algorithms can yield higher pediatric CT image quality and lower radiation dose than other conventional reconstruction techniques such as statistical-based iterative reconstruction (SBIR), according to research published online November 17 in Radiology.November 22, 2020Image ProcessingRadiomics enables prediction of invasive adenocarcinomaA machine-learning algorithm based on radiomics features of pure ground-glass nodules on CT can yield a promising level of accuracy for differentiating noninvasive from invasive pulmonary adenocarcinoma prior to surgery, according to research published online November 10 in Clinical Radiology.November 18, 2020ISRoad to RSNA 2020: Enterprise ImagingArtificial intelligence (AI) may again be the darling of this year's RSNA meeting, but there's more to imaging informatics than AI, of course. Our final stop on this year's Road to RSNA preview takes a look at what to expect in enterprise imaging, clinical decision support, 3D printing, augmented and virtual reality, business analytics, patient portals, and other informatics topics.November 17, 2020IS15 tips for selecting an enterprise imaging system at RSNAIf you're in the market for an enterprise imaging system, the planning and selection process is understandably different this year. But even during the COVID-19 pandemic, it's still possible to effectively evaluate and choose an enterprise imaging system, according to imaging consultant Michael J. Cannavo.November 17, 2020ISImaging informatics: More than just AI at RSNA 2020Artificial intelligence (AI) may be the overwhelming focus among imaging informatics presentations at RSNA 2020, but attendees will still be able to find content on areas such as clinical decision support, analytics, 3D printing, image-enabled patient portals, enterprise imaging, and more.November 17, 2020CTAI can opportunistically screen for metabolic syndromeArtificial intelligence (AI) algorithms can enable screening for metabolic syndrome in individuals receiving abdominal CT exams for other reasons and who don't have symptoms of this dangerous condition, according to research published online November 10 in the American Journal of Roentgenology.November 16, 2020AINew AI lab at UMass focuses on thoracic imagingA new research laboratory at the University of Massachusetts (UMass) in Worcester, MA, has launched this week with the goal of developing, testing, and implementing artificial intelligence (AI) and radiomics methods for thoracic imaging applications.November 12, 2020CTAI can quantify hematoma in hemorrhagic stroke patientsAn artificial intelligence (AI) algorithm was able to segment and quantify hematoma on noncontrast whole-head CT scans in acute hemorrhagic stroke patients at an accuracy level comparable to that of an expert, according to research published online November 9 in Scientific Reports.November 12, 2020AIRoad 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, 2020Previous PagePage 54 of 393Next PageTop StoriesHomeLLMs mostly avoid unnecessary care in Choosing Wisely testsLLMs recommended potentially unnecessary care in about 5% of responses, with many being thyroid ultrasound tests.Nuclear MedicineEANM: Thomas Hope on what’s next in FAP-targeted theranosticsCardiac ImagingMRI shows no ties between COVID, future heart inflammationMolecular ImagingEANM: Next-generation PET scanner cuts imaging time to one minuteAugmented/Virtual RealityVR boosts accuracy, confidence for evaluating abdominal neuroblastoma
