A new study shows that deep learning models trained on large sets of cancer genetic and tissue histology data can easily identify the institution that submitted the images.
Category: Machine Learning & AI
Scientists have used artificial intelligence to improve the accuracy and reliability of an MRI brain-mapping technique, a new study reports.Read More
Using machine learning, researchers have identified novel, distinct patterns of coordinated activity between different parts of the brain in people with major depressive disorder—even when different protocols are used to detect these brain networks.Read More
An automated AI measurement of visceral fat area on abdominal CT images predicts future heart attack or stroke risk better than overall weight or BMI.Read More
Researchers at Massachusetts General Hospital have developed a deep learning model that identifies imaging biomarkers to predict a patient’s risk for developing breast cancer.Read More
Researchers from multiple institutions in North America have developed a fully automated, deep-learning, artificial-intelligence clinical tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.Read More