Medical Imaging

An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, having the potential to improve patient outcomes, safety and documentation. Read More

Vanderbilt researchers have received a National Cancer Institute grant to develop a novel, integrative approach to detect early signs of lung cancer. The four-year project builds on a related, recent study that established the value of using three separate measures—structural imaging, a protein marker and information available from electronic health records—to predict lung cancer in... Read More

Perfecting MRI images with deep learning, Vanderbilt and VUMC researchers have created a technique that corrects image distortions, which provides more accurate information for researchers, radiologists and neuroscientists to better interpret brain scans. The work by Bennett Landman, professor of electrical engineering and computer science and radiology and radiological sciences, and Kurt Schilling, research assistant... Read More

Vanderbilt researchers have been awarded a National Science Foundation Convergence Accelerator 2020 Cohort Phase 1 grant to create a standardized platform that will streamline the development, testing and dissemination of technology that can improve human health. The nine-month project, “Scalable, Traceable AI for Imaging Translation: Innovation to Implementation for Accelerated Impact (STRAIT I3),” looks specifically... Read More