Opportunity

Simpler Grants.gov #RFA-RM-27-012

NIH PRIMED-AI Program: AI-Based Clinical Decision Support Tool Development

Buyer

National Institutes of Health

Posted

June 30, 2026

Respond By

October 19, 2026

Identifier

RFA-RM-27-012

NAICS

541511, 541512, 541715

This opportunity from the National Institutes of Health (NIH) seeks proposals for the PRIMED-AI: Data-to-Model Academic-Industrial Partnerships (D2M-AIP) program. - Government Buyer: - National Institutes of Health (NIH) - Products/Services Requested: - Development and testing of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools - Tools must integrate clinical imaging with other types of multimodal health data - Solutions must be developed as Software as a Medical Device (SaMD) - Unique/Notable Requirements: - Focus on AI-enabled, image-centered, multimodal CDS tools - Solutions should be suitable for integration into clinical workflows to enable personalized medicine - Open to a wide range of applicants, including government, academic, nonprofit, business, and foreign organizations - No specific OEMs or vendors are named in the notice - The program aims to catalyze adoption of AI-based CDS tools for precision medicine and address significant health challenges

Description

This funding opportunity aims to establish the PRIMED-AI Program to support the development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. These tools integrate clinical imaging with other multimodal health data to improve patient care across various health conditions. The program seeks to promote the adoption of AI-based CDS tools in clinical workflows to enable personalized medicine strategies addressing significant health challenges. The NOFO focuses on catalyzing the development and testing of AI-enabled, image-centered, multimodal CDS tools developed as Software as a Medical Device (SaMD) with high potential for positive impact on patient outcomes and healthcare processes.

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