Erik L. Ridley[email protected]AIAuntMinnie.com Artificial Intelligence InsiderAugust 3, 2020MRIPediatric EDs using more ultrasound, MRI instead of CTAlthough pediatric emergency departments (EDs) performed fewer CT exams between 2009 and 2018, their utilization of advanced imaging increased overall due to expanded use of MRI and ultrasound exams, according to research published online August 3 in JAMA Pediatrics.August 2, 2020CTCOVID-19 likely more than a respiratory illness in kidsA disease associated with COVID-19 that causes multiple organ failure in children presents imaging findings that are different than a typical acute infection, indicating that COVID-19 is likely far more than a respiratory illness in kids, according to an article published online July 30 in Radiology: Cardiothoracic Imaging.August 2, 2020AIFederated learning yields high-quality AI modelFederated learning -- an approach to training deep-learning models that incorporates data from other sites without sharing the actual data -- can protect patient privacy and enable more-generalizable radiology artificial intelligence (AI) algorithms, according to research published online July 28 in Scientific Reports.July 30, 2020BreastCancer screenings drop precipitously due to COVID-19The number of screening exams for colorectal and breast cancer performed at 20 U.S. hospitals dropped by nearly 90% in April due to the COVID-19 pandemic, according to research published online July 27 in JCO Clinical Cancer Informatics.July 27, 2020Advanced VisualizationAI, radiomics can predict stroke treatment successArtificial intelligence (AI) and radiomics can help to predict if a particular treatment strategy for acute ischemic stroke will be successful and how difficult the procedure will be, potentially paving the way for personalized endovascular patient management, according to research published online July 20 in Stroke.July 27, 2020Image ProcessingCT radiomics can predict COVID-19 pneumonia outcomesRadiomics features on noncontrast-enhanced chest CT exams can help to identify which patients with COVID-19 pneumonia will need to be admitted to the intensive care unit. They can also predict patient outcomes, according to research published online July 23 in Radiology: Cardiothoracic Imaging.July 27, 2020Molecular ImagingRadiomics can predict treatment outcome for NSCLCRadiomics features on pretreatment FDG-PET exams can foretell outcomes in patients with non-small cell lung cancer (NSCLC), according to research presented at the 2020 virtual annual meeting of the Society of Nuclear Medicine and Molecular Imaging.July 26, 2020MRIAI spots cervical cancer lymph node metastasis on MRIAn artificial intelligence (AI) algorithm was able to preoperatively identify lymph node metastasis on MRI in patients with cervical cancer, potentially enabling some patients to avoid unnecessary surgery, according to research published online July 24 in JAMA Network Open.July 23, 2020Digital X-RayAI can assess COVID-19 severity on chest x-raysAn artificial intelligence (AI) algorithm can quantitatively assess the severity of COVID-19 on frontal chest x-rays, offering potential as a clinical triage and workflow optimization tool, according to research published online July 22 in Radiology: Artificial Intelligence.July 23, 2020Previous PagePage 55 of 389Next PageTop StoriesMRIGadolinium … in beer?The results offer a "snapshot" of the current status of rare earth element contamination in beverages.UltrasoundMWA safe, effective in treating hyperthyroidism with nodulesAIAI model shows promise for diagnosing prostate cancerCT'Habitat' AI model helps stratify lung nodule disease risk on LDCTMRICE MRI-based radiomics model captures DEB TACE-induced tumor changes
