*Radiological AI Adoption Support Contract
- Est. solicitation
- Jul 1, 2026
- Date posted
- —
- Source
- Open forecast
Description
This is a significant expansion of an earlier FY27 budget request to fund the development of supporting materials to aid and encourage adoption of safe and effective radiological AI medical devices across a broad range of current facility capabilities.Safe and effective deployment of radiological AI at imaging facilities currently relies on specialized expertise to evaluate model selection, perform local acceptance testing, train users, employ appropriate AI governance, and monitor device performance. Smaller imaging facilities and those in remote locations in the US often lack the resources to execute these functions, putting facilities where AI that may benefit patients the most at a disadvantage for deploying modern radiological AI software. Furthermore, expanded adoption and standardization of these practices and modern technologies at imaging facilities will inform the development of special controls for novel AI devices, tailored postmarket monitoring infrastructure, and collection of real-world evidence for device evaluation and quality measurement. This request is for a contract to develop quick-start guides, templates, or other supporting materials to aid and encourage adoption of safe and effective radiological AI medical devices and real-world data collection according to modern frameworks such as the American College of Radiology's ARCH-AI.This expanded request would provide for the option of multiple awardees, fund pilot studies at multiple sites, and explicitly call for materials to support integration with the Centers for Medicare and Medicaid Services' health technology ecosystem, enabling seamless data exchange, supporting reimbursement alignment, and ensuring that AI-generated insights can be integrated into broader care delivery and quality measurement infrastructure.
Planning details
- Estimated value
- >= $1.5M and < $3M
- Est. solicitation date
- Jul 1, 2026
- Anticipated award
- Jan 1, 2027