Can radiomics and AI characterize renal masses on preop CT?
September 17, 2021 -- 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. Read More
Strength in numbers: Federated learning boosts AI for COVID-19
September 16, 2021 -- An 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. Read More
Deep learning reduces scan times for shoulder MRI
September 16, 2021 -- MRI reconstruction based on deep learning for shoulder exams allows clinicians to reduce scan times via accelerated protocols without compromising image quality, according to a study published September 15 in the American Journal of Roentgenology. Read More
MRI radiomics can help predict breast cancer treatment response
September 14, 2021 -- A 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. Read More
Use AI with CT to better assess stroke patients' collateral flow
September 13, 2021 -- Researchers have developed an artificial intelligence (AI) algorithm that can be used with CT perfusion imaging to assess stroke patients' collateral flow, according to a study published September 8 in World Neurosurgery. Read More
AI can detect metastatic bone lesions on scintigraphy
September 13, 2021 -- An 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. Read More
AI can help overburdened radiologists, spur hospital innovation
September 9, 2021 -- In today's environment, radiologists are often being asked to do more with less and to do it faster. TeraRecon President Dan McSweeney describes how AI can offer a much-needed helping hand while also spurring innovation in hospitals. Read More
Can AI enable personalized breast cancer screening?
September 7, 2021 -- 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. Read More
Could machine learning help clinicians better diagnose autism?
September 7, 2021 -- Autism spectrum disorder is a complicated condition that can be difficult to diagnose, especially since its evaluation is currently conducted by assessing behavioral symptoms, according to a study published in the September 1 issue of the Journal of Neuroscience Methods. Read More
Review claims to find flaws in studies on AI for breast cancer
September 6, 2021 -- Artificial intelligence (AI) still has a ways to go before it can outperform breast imagers or even be used in clinical settings, according to a literature review published September 1 in BMJ. Read More
Special Feature
Top 10 questions to ask when buying radiology AI software
Top 10 questions to ask when buying radiology AI software

What issues should you consider when buying artificial intelligence (AI) software for radiology? A multinational team of authors has produced new guidelines -- including a list of top 10 questions to ask -- aimed at helping guide prospective purchasers. Learn more