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
This center brings together experts and data from across disciplines to accelerate the development and clinical adoption of advanced AI imaging solutions. Its work can streamline diagnostics and enable more personalised, precise patient care in radiology and beyond.
Source
EurekAlert
Related News
•EurekAlert
Mass General Brigham Spins Off AIwithCare to Transform Clinical Trial Screening
Mass General Brigham has spun out AIwithCare, a company commercializing RECTIFIER, an AI tool that automates and enhances clinical trial patient screening using EHR data.
•EurekAlert
AI-Driven CT Imaging Predicts Cardiac Events in Large UK Cohort
An AI tool analyzing CCTA images can predict future cardiovascular events and death in patients with suspected stable coronary artery disease.
•EurekAlert
AI Tool from UCLA Targets Undiagnosed Alzheimer's and Diagnostic Disparity
UCLA researchers developed an AI model using EHR data to better detect undiagnosed Alzheimer's disease, especially in underrepresented groups.