WashU launches center for AI in medical imaging to advance disease detection
WashU’s Mallinckrodt Institute of Radiology is establishing a cutting-edge AI facility to advance diagnostic imaging, aiming to detect diseases earlier and improve personalized treatments for conditions like cancer and Alzheimer's.
The Mallinckrodt Institute of Radiology (MIR) at Washington University School of Medicine in St. Louis with WashU Medicine and WashU’s McKelvey School of Engineering are developing a facility devoted to artificial intelligence (AI) diagnosis, according to an article by Mark Reynolds.
The tools developed at the Center for Computational and AI-enabled Imaging Sciences will aid diagnosis and personalized treatment of various diseases including cancer and Alzheimer's. WashU Medicine and MIR have already developed two AI-driven imaging technologies that will be enhanced through the new facility. According to Reynolds, “The center will be a hub for expertise in image analysis that uses sophisticated computing tools to find patterns in datasets of millions of medical images and de-identified patient records, providing insight on both the progression and the potential treatment of disease. The center will also support training on these tools for clinicians and researchers.”
One of the hopes of the new facility is to create tools that have the ability to detect disease earlier and enhance treatment. Experts from different areas of WashU will work together to achieve this goal.
