Erik L. Ridley[email protected]AIC-MIMI: AI peer review can spot missed lung cancerA peer review process that's driven by artificial intelligence (AI) can identify lung nodules that were overlooked by radiologists on CT exams, potentially enabling early detection of cancers that would have otherwise been missed, according to a Monday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).September 14, 2020Clinical NewsDoes experience matter in chest x-rays for COVID-19?A group of Italian researchers found the performance of radiologists for detecting COVID-19 pneumonia on chest x-rays grew over time as they gained experience -- a finding that even applied to those with less experience reading x-rays. They shared their results online September 10 in the European Journal of Radiology.September 13, 2020AIC-MIMI: Use of AI in radiology is evolvingThe use of artificial intelligence (AI) in radiology to aid in image interpretation tasks is evolving, but many of the old factors and concepts from the computer-aided detection era still remain, according to a Sunday talk at the Conference on Machine Intelligence in Medical Imaging (C-MIMI).September 13, 2020Advanced VisualizationCT radiomics predicts esophageal cancer outcomesMachine-learning models that assess both peritumoral and intratumoral radiomics features on pretreatment CT images can yield a promising level of performance for predicting treatment outcomes in patients with esophageal squamous cell carcinoma, according to research published online September 10 in JAMA Network Open.September 10, 2020AICan AI diagnose heart failure on chest x-rays?An artificial intelligence (AI) algorithm can provide a promising level of accuracy for diagnosing heart failure on chest radiographs, according to a presentation from Japanese researchers at the recent European Society of Cardiology virtual congress.September 7, 2020Image-Guided Surgery3D printing enhances planning of TAVR procedures3D-printed soft aortic root models with integrated electronic sensor arrays can improve the planning of transcatheter aortic valve replacement (TAVR) procedures in patients with aortic stenosis, potentially decreasing the risk of complications, according to research published online August 28 in Science Advances.September 7, 2020ISAI can spot smokers at high risk of cancer on x-raysBy analyzing chest radiographs and a patient's electronic medical record (EMR), a deep-learning algorithm was able to identify more high-risk smokers who could benefit from CT lung cancer screening than current Medicare eligibility criteria, according to research published September 1 in the Annals of Internal Medicine.September 3, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderSeptember 1, 2020Digital X-RayVirtual imaging trials could optimize COVID-19 imagingResearchers have created computerized models of lung abnormalities on CT scans of patients with COVID-19, according to an August 28 study in the American Journal of Roentgenology. The virtual imaging models can be used like computerized phantoms for research into the use of imaging to detect and monitor the disease.September 1, 2020BreastRadiologists, AI make a great team in screening mammoThe combination of an artificial intelligence (AI)-based computer-aided detection algorithm with radiologist interpretation can detect more cases of breast cancer on screening mammograms than double reading by radiologists, according to research published online August 27 in JAMA: Oncology.August 26, 2020Previous PagePage 57 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
