Erik L. Ridley[email protected]MRIAI model predicts need for total knee replacementAn artificial intelligence (AI) algorithm that analyzes 3D MR images in addition to clinical and demographic information can predict with a promising level of accuracy if patients will require a total knee replacement in the future, according to research published online April 14 in Scientific Reports.April 20, 2020CTChest CT lung finding tied to better COVID-19 prognosisQuantification of the well-aerated lung at baseline chest CT can be a valuable tool for predicting prognosis in patients with COVID-19 pneumonia, a team of Italian researchers reported in a study published online April 17 in Radiology.April 20, 2020Advanced Visualization3D printing aids treatment of complex tibial fracturesPreoperative simulation with 3D printing models can improve surgical results for treatment of old and complex tibial fractures, leading to faster and more personalized procedures with less intraoperative blood loss and fluoroscopy time, according to research published online April 8 in Scientific Reports.April 15, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderApril 13, 2020Advanced VisualizationAI speeds up reconstruction of 4D flow MRIAn artificial intelligence (AI) algorithm can accurately reconstruct 4D flow MRI exams in seconds, potentially enabling near-real-time assessment of cardiac blood flow while the patient is still in the scanner, according to research published April 13 in Nature Machine Intelligence.April 12, 2020Image ProcessingTexture analysis could help quantify COPD on CTCT image texture analysis may enable low-dose CT lung cancer screening exams to also be utilized to screen for and assess chronic obstructive pulmonary disease (COPD), according to Danish research published online April 7 in the American Journal of Roentgenology.April 12, 2020MRIAI system takes human approach to brain MRI diagnosisAn artificial intelligence (AI)-based system developed to mimic how a radiologist interprets images can achieve performance comparable to that of academic neuroradiologists in diagnosing 19 common and rare diseases on brain MRI exams, according to research published online April 7 in Radiology.April 9, 2020MRIHippocampal MRI biomarkers portend Alzheimer's diseaseRadiomic features in the hippocampus on MRI scans could serve as biomarkers for predicting if patients will progress from mild cognitive impairment (MCI) to Alzheimer's disease, according to research published online April 3 in Science Bulletin.April 7, 2020AIAI could help triage, monitor COVID-19 patientsAn artificial intelligence (AI) algorithm developed to help diagnose pneumonia on chest x-rays could also be useful for detecting and monitoring COVID-19, potentially enabling early isolation and administration of supportive therapies, according to research published online on March 20 in the Journal of Thoracic Imaging.April 5, 2020CTImaging doesn't help AI predict severity of COVID-19An artificial intelligence (AI) algorithm can achieve a promising level of accuracy for predicting the severity of COVID-19 based on several clinical features at presentation, according to research published on March 30 in Computers, Materials, & Continua. But adding CT findings to the analysis didn't help.April 5, 2020Previous PagePage 61 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
