PRIMED-AI: Validation Center (U54 Clinical Trial Not Allowed)
This grant will fund a center to independently validate and assess AI-powered clinical decision support tools that combine imaging and other health data to improve personalized medicine.
Funder: National Institutes of Health
Due Dates (Anticipated): June 2027 (Full application deadline, projected) | June 2026 (Application deadline)
Funding Amounts: Estimated total program funding: $3,900,000; award size and duration to be detailed in the official NOFO.
Summary: Supports an independent validation center to verify, validate, and assess AI-enabled, image-based multimodal clinical decision support tools for precision medicine.
Key Information: This is a forecasted opportunity; applications are not yet being solicited.
Description
The National Institutes of Health (NIH) Common Fund, in collaboration with other NIH Institutes and Centers, intends to release a Notice of Funding Opportunity (NOFO) for a Validation Center as part of the Precision Medicine with Artificial Intelligence—Integrating Imaging with Multimodal Data (PRIMED-AI) program. The Validation Center will serve as an independent hub for third-party verification, validation, and uncertainty quantification of AI-enabled, image-based, multimodal Clinical Decision Support (CDS) tools. Its mission is to systematically retest and harmonize PRIMED-AI deliverables, providing comprehensive characterization of CDS tool performance to enhance their reliability and integration into personalized medicine for chronic and other health conditions.
This funding opportunity will use the U54 cooperative agreement activity code. The program is specifically designed for investigators with expertise in validation of CDS tools, assessment of AI predictions' confidence bounds, and identification of potential failure modes.
Note: This is a forecasted opportunity and the official NOFO has not yet been released. The information provided is intended to allow researchers and organizations to prepare for the anticipated call for applications.
