Erik L. Ridley[email protected]AIIn 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, 2021Nuclear MedicineAI can detect metastatic bone lesions on scintigraphyAn artificial intelligence (AI) algorithm can identify and characterize suspicious bone lesions on whole-body bone scintigraphy exams in cancer patients, according to research published online September 4 in BMC Medical Imaging.September 12, 2021HomeWeek in Review: PET tracer for prostate cancer | Flawed AI studies | Repurposing DEXA examsSeptember 10, 2021BreastCan AI enable personalized breast cancer screening?An artificial intelligence (AI) algorithm for screening mammography may be able to facilitate personalized breast cancer screening protocols for women, according to research published online September 7 in Radiology.September 7, 2021Image ProcessingCT body composition analysis helps reveal colon cancer secretsBody composition analysis on CT reveals that colon cancer patients with high visceral fat and low muscle mass are more likely to have worse outcomes, according to research published August 30 in JAMA Network Open. Inflammation also plays a key role.August 30, 2021Previous PagePage 37 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
