Erik L. Ridley[email protected]PACS/VNAEHR integration gives patients better access to imagesIntegrating a dedicated patient image portal with the portal for an electronic health record (EHR) can significantly increase the number of patients who access their medical images, according to a case study published online January 23 in the Journal of the American College of Radiology.January 26, 2021CT3D printing may help to uncover secrets of AAOCA3D printing may be able to help in stratifying risk and making surgical decisions for patients with anomalous aortic origin of the coronary arteries (AAOCA), one of the most common causes of sudden cardiac death in children, according to research published online January 21 in Computer Methods and Programs in Biomedicine.January 26, 2021Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderJanuary 24, 2021MRI3D T2 maps enhance assessment of myocarditis on MRIA free-breathing, 3D whole-heart T2 MRI mapping sequence can efficiently and reproducibly quantify myocardial T2 times in patients with suspected myocarditis, and potentially even detect more cases of cardiac inflammation than standard 2D T2 maps, according to research published online January 19 in Radiology.January 24, 2021CTAI enhances performance of CT lung cancer screeningCombining artificial intelligence (AI) with Lung-RADS can sharply increase specificity in low-dose CT lung cancer screening programs without hurting sensitivity, according to a January 19 study in the Journal of the American College of Radiology.January 21, 2021Molecular ImagingPET identifies tau's origin in Alzheimer's diseaseAn automated PET image analysis method can track the development of tau protein clumps in the brains of people with Alzheimer's disease, revealing an important clue in how the devastating disease could potentially be treated, according to research published online January 20 in Science Translational Medicine.January 20, 2021MRIAI, radiomics predicts prostate cancer recurrenceA diagnostic model that incorporates artificial intelligence (AI) analysis of radiomics features on multiparametric MRI can predict the likelihood of prostate cancer recurrence prior to surgical treatment, enabling preoperative risk stratification of patients, according to research published in the January issue of EBioMedicine.January 18, 2021Image ProcessingRadiomics, AI can guide NSCLC treatment decisionsRadiomics and artificial intelligence (AI) can be used to guide treatment of non-small cell lung cancer (NSCLC) without the need for a biopsy, according to research presented January 13 at the American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.January 15, 2021CTCT radiomics classifies small nodules found in CT lung screeningA machine-learning algorithm can be highly accurate for classifying very small lung nodules found in low-dose CT lung screening programs, according to a poster presentation at this week's American Association for Cancer Research Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging.January 14, 2021AIAuntMinnie.com Artificial Intelligence InsiderJanuary 13, 2021Previous PagePage 46 of 388Next PageTop StoriesDigital X-RayCan eye gaze data from radiologists make AI more human?Researcher Jeremy Wolfe, MD, discusses an emerging trend of integrating eye gaze data from radiologists into AI algorithms.PodcastsPodcast: Bryan discusses surviving radiology cuts, 2-year lockdown, and categorical changePractice ManagementMICI Q3: Radiology administrators mixed on the state of medical imagingMolecular ImagingBrain PET tracer delivered intranasally for first time in humansSponsor ContentWhen time is of the essence
