Erik L. Ridley[email protected]Digital X-RayAI aids assessment of skeletal age on radiographsRadiologists can assess skeletal age on hand radiographs faster and more accurately with assistance from an artificial intelligence (AI) algorithm, according to a prospective analysis published online September 28 in Radiology.September 29, 2021UltrasoundAI of breast ultrasound helps radiologists focus on cancerAn artificial intelligence (AI) algorithm was able to significantly reduce false positives in breast ultrasound, potentially avoiding the need for one out of four biopsies in a study published online September 24 in Nature Communications.September 23, 2021MRICan AI of MRI data predict patient response to antidepressants?A machine-learning algorithm that analyzed brain MRI scans was able to predict if patients would respond to antidepressant treatment in a study presented this week at the Conference on Machine Intelligence in Medical Imaging.September 23, 2021AIAuntMinnie.com Artificial Intelligence InsiderSeptember 22, 2021AIIn chest x-ray AI, two views are better than oneAn artificial intelligence (AI) model that analyzes both frontal and lateral chest radiographs performs better for classifying adenopathy, according to a September 20 presentation at the Conference on Machine Intelligence in Medical Imaging.September 20, 2021AIFDA faces research hurdles in regulating AI for imagingWhat's taking so long for artificial intelligence (AI) algorithms to move into routine clinical use in radiology? Several regulatory bottlenecks could be holding AI back, according to a September 19 talk at the Conference on Machine Intelligence in Medical Imaging.September 19, 2021AICan AI help improve racial disparities in healthcare?If appropriate steps are taken, artificial intelligence (AI) technology could help reduce -- not worsen -- racial disparities in healthcare in the U.S., according to an article published September 17 in JAMA Health Forum.September 19, 2021Advanced VisualizationCan radiomics and AI characterize renal masses on preop CT?The combination of radiomics and a machine-learning algorithm can differentiate benign from malignant renal masses, potentially helping to avoid unnecessary surgeries, according to research published online September 17 in European Urology Focus.September 16, 2021Digital X-RayStrength in numbers: Federated learning boosts AI for COVID-19An algorithm trained using federated learning turned in highly accurate performance for predicting clinical outcomes in COVID-19 patients from chest x-rays and clinical data, according to research published online September 15 in Nature Medicine.September 15, 2021Image ProcessingMRI radiomics can help predict breast cancer treatment responseA nomogram based on MRI radiomics and clinical variables can predict whether hormone receptor-positive breast cancer patients will respond to endocrine therapy, according to research published online September 11 in the Breast.September 13, 2021Previous PagePage 32 of 388Next PageTop StoriesCTSCCT: CCTA identifies underlying heart disease in firefightersSudden cardiac death is a leading cause of line-of-duty deaths in firefighters, accounting for 40% of duty-related firefighter deaths in 2023.CTSCCT: AI-driven CAC grading significantly cuts scoring timeMolecular ImagingPET/CT scans show lung damage in stone workersCTSCCT: Study explores diagnostic accuracy of CCTASponsor ContentWhen CT meets the power of AI everyone benefits.
