
Washington University establishes a new center to develop AI-powered imaging tools for better diagnosis and precision medicine.
Key Details
- 1Mallinckrodt Institute of Radiology at WashU is launching the Center for Computational and AI-enabled Imaging Sciences.
- 2The center will focus on developing AI tools for diseases such as cancer, cardiovascular, and neurological conditions.
- 3It will collaborate across WashU Medicine, McKelvey School of Engineering, and other departments.
- 4Recent projects include mammography AI for breast cancer risk prediction and brain mapping tools for surgery planning.
- 5The center will integrate data from multiple imaging modalities like MRI, X-ray, and digital microscopy.
- 6Dr. Mark Anastasio, an expert in computational imaging, will lead the center.
Why It Matters

Source
EurekAlert
Related News

AI-Based Imaging Biomarker for Chronic Stress Validated on Chest CT
A deep learning model has identified and validated the first imaging biomarker for chronic stress using adrenal gland measurements from routine chest CT scans.

UK Researchers Launch Unbiased AI Testing Platform for Diabetic Retinopathy Screening
Researchers unveiled a new independent platform for fair, large-scale evaluation of commercial AI algorithms detecting diabetic eye disease within the NHS.

Multi-Algorithm Machine Learning Model Enhances Exacerbation Risk Prediction in COPD
A multi-algorithm machine learning model significantly improves risk prediction of acute exacerbations in COPD patients using multidimensional clinical data.