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: October 2, 2026
Funding Amounts: Estimated total program funding: $2,700,000–$3,900,000; one award expected; award ceiling up to $2,000,000 per year; project period and budget specifics set in the NOFO.
Summary: Supports a Validation Center to independently evaluate and characterize AI-enabled, image-based, multimodal clinical decision support tools developed by the PRIMED-AI Consortium.
Key Information: Forecasted opportunity—final details may change; foreign organizations/international collaborations not eligible.
This funding opportunity aims to establish a Validation Center as part of the NIH Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) program. The Center will serve as a dedicated hub for the comprehensive evaluation, characterization, and validation of AI-enabled, image-based, multimodal clinical decision support (CDS) tools developed by PRIMED-AI Consortium members. The Center's core functions will include verification, validation, interoperability testing, and uncertainty quantification to ensure the reliability, reproducibility, and generalizability of these CDS tools for clinical application. The initiative is intended to catalyze the adoption of AI-based CDS tools in clinical workflows and enable novel personalized medicine strategies.