PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed)
NIH will soon fund projects creating frameworks and best practices for developing and managing AI tools that integrate clinical imaging with other health data to improve personalized medicine.
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Funder: National Institutes of Health
Due Dates: June 17, 2026 (Estimated) | October 9, 2026 (Application submission deadline)
Funding Amounts: Up to $300,000 per award; estimated total program funding $2,000,000; up to 5 awards; project period and budget may vary by proposal.
Summary: Supports development and preliminary validation of robust, multi-use frameworks for integrating AI-driven imaging with multimodal health data in precision medicine, culminating in an actionable "playbook" for clinical implementation.
Key Information: This is a forecasted opportunity; all dates and details are subject to change.
Description
This funding opportunity aims to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program. The primary goal is to support the design, development, and preliminary validation of innovative, reliable, and sustainable frameworks for multimodal AI-based clinical decision support (CDS) tools. These tools will integrate clinical imaging with other health data types to enhance care for a broad range of health conditions.
Awardees will develop and test frameworks that will populate a "playbook"—a collection of actionable guidelines, standardized protocols, and standard operating procedures (SOPs)—to guide reliable and effective development and deployment of multimodal AI tools. The playbook is expected to address PRIMED-AI objectives, including error mitigation, technical management of data and algorithms, data ontology/linkage, and regulatory preparation (e.g., for FDA approval). Frameworks should be extensible and interoperable for use across diverse biomedical AI applications.
