Erik L. Ridley[email protected]BreastCancer 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, 2020Advanced VisualizationCT textures predict interstitial lung disease survivalQuantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR.July 22, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderJuly 20, 2020AIECR 2020: Radiologists, data scientists needed for AIGreater involvement by radiologists and more help from data scientists are needed to improve the performance of artificial intelligence (AI) algorithms and expand their use in clinical practice, a leading Spanish expert told ECR Online registrants on Thursday.July 16, 2020Molecular ImagingSNMMI 2020: AI analysis of PET could help classify prostate cancerAn artificial intelligence (AI) algorithm may be able to assist in classifying prostate lesions on 3D prostate-specific membrane antigen-PET exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).July 16, 2020Previous PagePage 56 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
