PRIMED-AI: Translating Models to Clinic (UG3/UH3 Clinical Trial Optional)
This NIH grant will fund development and clinical testing of AI tools that combine imaging and other health data to improve personalized care for chronic and other conditions.
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Funder: National Institutes of Health
Due Dates: June 17, 2026 (Estimated application due date) | October 19, 2026 (Final deadline)
Funding Amounts: Estimated total program funding: $10,200,000; expected 8 awards; typical UG3/UH3 multi-phase projects, durations up to 5 years.
Summary: Supports development and clinical translation of AI-enabled, image-centered, multimodal clinical decision support tools for precision medicine.
Key Information: This is a forecasted opportunity—application instructions and full NOFO expected in 2026.
Description
This opportunity, part of the NIH Common Fund's PRIMED-AI program, aims to accelerate the translation of artificial intelligence (AI)-enabled, image-centered, multimodal clinical decision support (CDS) tools from prototype to clinical use. The focus is on integrating clinical imaging with other health data types to enhance diagnostic, prognostic, or therapeutic decision-making for precision medicine, especially in areas where current methods are insufficient. Projects should demonstrate strong potential for positive impact on patient outcomes or healthcare processes and facilitate the adoption of AI-based CDS tools into clinical workflows.
The initiative uses a biphasic UG3/UH3 cooperative agreement mechanism:
- UG3 phase: Rigorous AI model building using retrospective analysis and testing of large, interoperable multimodal datasets to establish robust, clinically relevant tools.
- UH3 phase: For projects with demonstrated readiness, advance to prospective evaluation of the real-world clinical utility of the AI-driven CDS tool.
Applications are not yet being solicited; this is a forecast to allow potential applicants time to develop collaborations and responsive projects.
