Simpler Grants.gov #RFA-RM-26-014

NIH PRIMED-AI Validation Center Funding Opportunity Forecast

The National Institutes of Health (NIH) is forecasting a funding opportunity for the PRIMED-AI Validation Center, focused on advancing AI-driven clinical decision support: - Government Buyer: - National Institutes of Health (NIH), including the NIH Common Fund and other Institutes and Centers - Products/Services Requested: - Establishment and operation of a Validation Center for AI-enabled, image-based, multimodal Clinical Decision Support (CDS) tools - Independent third-party verification, validation, and uncertainty quantification of AI-based CDS tools - Systematic retesting and harmonization of PRIMED-AI deliverables to assess performance and prediction confidence - OEMs and Vendors: - No specific OEMs or vendors are named, as this is a grant forecast open to a broad range of applicants (nonprofits, educational institutions, government entities, businesses) - Unique or Notable Requirements: - Applicants must demonstrate expertise in validation of CDS tools and quantification of AI prediction confidence bounds - The Validation Center will serve as an independent hub for third-party assessment - Emphasis on integrating clinical imaging with multimodal health data for personalized medicine - Estimated award value is $3,900,000 - Funding instrument is a cooperative agreement - Place of performance is the National Institutes of Health

Description

The NIH Common Fund, along with other NIH Institutes and Centers, plans to publish a Notice of Funding Opportunity for the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program. This program aims to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data to enhance personalized medicine for patients with chronic and other health conditions. The Validation Center initiative will act as an independent hub for third-party verification, validation, and uncertainty quantification of AI-enabled, image-based, multimodal Clinical Decision Support tools by retesting and harmonizing PRIMED-AI deliverables to characterize their performance comprehensively. Applications are not currently being solicited; this notice allows potential applicants time to develop collaborations and projects. The NOFO will use the U54 activity code and encourages investigators with expertise in validation of CDS tools and AI prediction confidence to consider applying.

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