Erik L. Ridley[email protected]Advanced 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, 2020AIAI assesses osteoporosis risk from x-ray, CT reportsAn artificial intelligence (AI) algorithm was able to assess a patient's risk of osteoporosis from x-ray and CT reports much better than the traditional method of manual review by healthcare professionals, according to research set to be published in mid-April in the Journal of the Endocrine Society.March 31, 2020AIOpen-source AI COVID-Net targets COVID-19 on chest x-raysCanadian researchers are developing an open-source artificial intelligence (AI) algorithm called COVID-Net for detecting COVID-19 on chest x-rays. They've also made the training dataset available for other researchers.March 30, 2020AIAI-based CAD accurately detects tuberculosis on chest x-raysA computer-aided detection (CAD) software application developed with deep-learning technology can detect tuberculosis on chest radiographs at a comparable level to human experts, according to research published online March 26 in Scientific Reports.March 30, 2020AICould imaging AI research be endangering patients?Many research studies claim that artificial intelligence (AI) algorithms are better or equal to human experts for interpreting medical images. But many of these studies are of poor quality and exaggerate claims -- fueling hype around AI and potentially endangering patients, according to research published March 25 in the BMJ.March 24, 2020Previous PagePage 62 of 389Next PageTop StoriesDigital X-RayAI fracture detection tools tested head-to-headAll models showed moderate to high performance for straightforward fracture detection but limited accuracy in complex scenarios.CTAI improves interreader CAD-RADS agreement on CCTACTWorld Trade Center attacks boosted lung cancer incidence in responders nearly 3-foldPractice Management'Circular' business models for replacing MRI scanners reduce costs, wasteSponsor ContentRegister Now: Breaking Barriers in Breast Imaging Webinar
