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.
Funder: National Institutes of Health
Due Dates (Anticipated): June 2026 (anticipated)
Funding Amounts: Estimated total program funding: $650,000; typical award size and duration not yet specified.
Summary: Supports the development and initial testing of AI-based frameworks ("playbooks") for integrating clinical imaging with multimodal health data to advance precision medicine.
Key Information: This is a forecasted opportunity; application details and requirements may change when the official NOFO is released.
Description
The National Institutes of Health (NIH) Common Fund, in collaboration with other NIH Institutes and Centers, is planning to solicit applications for the PRIMED-AI program. This initiative aims to foster innovative, reliable, and cost-effective artificial intelligence (AI) tools that integrate clinical imaging with other health data types to improve personalized medicine for patients with chronic and other health conditions.
The Playbook initiative specifically seeks projects that will develop and pilot "playbooks"—frameworks for:
- Responsible use of AI models in precision medicine,
- Error mitigation and technical management of data and algorithms,
- Data ontology and linkage,
- Preparation for regulatory approval (e.g., FDA).
The anticipated funding opportunity will use the UG3 cooperative agreement mechanism. Investigators with expertise in AI-driven integration of clinical imaging and complex, multiscale health data, as well as those experienced in harmonization and validation of multimodal AI tools, are encouraged to prepare for this forthcoming opportunity.
