Erik L. Ridley[email protected]ISAI can spot smokers at high risk of cancer on x-raysBy analyzing chest radiographs and a patient's electronic medical record (EMR), a deep-learning algorithm was able to identify more high-risk smokers who could benefit from CT lung cancer screening than current Medicare eligibility criteria, according to research published September 1 in the Annals of Internal Medicine.September 3, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderSeptember 1, 2020Digital X-RayVirtual imaging trials could optimize COVID-19 imagingResearchers have created computerized models of lung abnormalities on CT scans of patients with COVID-19, according to an August 28 study in the American Journal of Roentgenology. The virtual imaging models can be used like computerized phantoms for research into the use of imaging to detect and monitor the disease.September 1, 2020BreastRadiologists, AI make a great team in screening mammoThe combination of an artificial intelligence (AI)-based computer-aided detection algorithm with radiologist interpretation can detect more cases of breast cancer on screening mammograms than double reading by radiologists, according to research published online August 27 in JAMA: Oncology.August 26, 2020BreastAI software can cut screening mammography workloadSwedish researchers found that artificial intelligence (AI)-based computer-aided detection software cut radiologists' screening mammogram workload by more than half. It also could catch more interval and future screening-detected cancers, according to a study published online August 24 in the Lancet: Digital Health.August 25, 2020Advanced VisualizationAugmented reality enhances medical student trainingAugmented reality (AR) technology and 3D CT holograms can significantly improve recall of head and neck anatomy in first-year medical students, yielding better performance than viewing the holograms on traditional laptop displays, according to research published online August 20 in Academic Radiology.August 24, 2020Advanced Visualization3D printing can help in planning complex CHD surgeries3D printing can influence strategy changes and improve surgical confidence when planning surgeries for complex cases of congenital heart disease (CHD), according to research published online in JACC: Cardiovascular Imaging.August 23, 2020CTAI algorithm may be generalizable for spotting COVID-19An artificial intelligence (AI) algorithm trained on a large, multinational dataset can be highly accurate for identifying COVID-19 pneumonia on chest CT scans, according to research published online August 14 in Nature Communications. It can also be highly specific for non-COVID-19-related pneumonias.August 20, 2020CT3D CT models can help assess COVID-19 lung damageCan advanced visualization techniques used to research the lungs of reptiles and birds also help diagnose COVID-19 in humans? Applying methods from evolutionary anatomy research, a Louisiana State University team has created 3D digitally segmented models that demonstrate the extent and distribution of the disease.August 19, 2020CTMRI is a good alternative to CT for COVID-19 diagnosisChest CT has been widely used to diagnose COVID-19 disease, but MRI offers an attractive alternative that doesn't require radiation, according to a study published August 15 in Academic Radiology.August 18, 2020Previous PagePage 54 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
