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This Solicitation opportunity from Department Of Health And Human Services was posted on December 18, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Performance and Reliability Evaluation for Continuous modIfications and uSEability of AI (PRECISE-AI)

Closed
ARPA-H-SOL-25-113Federal

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The contract pertains to the PRECISE-AI program initiated by the Department of Health and Human Services through ARPA-H, focusing on enhancing the safety, reliability, and usability of AI-driven clinical decision support tools. An amendment was issued on December 18, 2024, updating the attachment that details key personnel information, while all other aspects of the contract remain unchanged. The program aims to develop innovative, self-correcting techniques that enable AI models used in healthcare to maintain optimal performance across various clinical environments, addressing the limitations of traditional pre-market testing which often fails to predict long-term performance due to variability in operational conditions and patient populations. Key objectives include creating continuous monitoring systems, degradation detection, root cause analysis, and self-correction capabilities, all integrated with bidirectional communication to clinicians. The initiative will also establish an open-source repository of tools to support ongoing AI model maintenance, interpretability, and actionability, with real-world testing to demonstrate improvements in clinical decision-making. The solicitation, identified as ARPA-H-SOL-25-113, is open for responses until January 15, 2025, and is managed by the ARPA-H office in Washington, DC.

General Info

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

DC, USA

Set-Aside

NONE

Documents

9

ARPA-H-SOL-25-113 Draft Program Solicitation PRECISE-AI

PDF, High priority: read this firstpresolicitation
High

ARPA-H-SOL-25-113 Innovative Solutions Opening for AI Performance Evaluation

PDF, High priority: read this firstinnovative-solutions-opening
High

ARPA-H-SOL-25-113 Innovative Solutions Opening for AI Performance Evaluation

PDF, High priority: read this firstiso
High

ARPA-H-SOL-25-113 Solution Summary Template

DOCX, High priority: read this firstsow
High

PRECISE-AI Proposers Day Presentation Slides

PDF, Low priorityindustry-day
Low

Amendment 01_Other Transaction Bundle Templates.zip

ZIP

Amendment+01_Other+Transaction+Bundle+Templates.zip

ZIP

OT Bundle of Attachments.zip

ZIP

Other Transaction Bundle Templates.zip

ZIP

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Timeline

3 updates
PhaseClosed
Posted

Presolicitation

Notice updated

The notice description changed.

Notice updated

The notice description changed. The point of contact changed.

Type Changed

Presolicitation → Solicitation

Notice updated

The notice description changed.

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)
Contacts1 person available
OfficeWashington, DC, 20005, USA
Office AddressWashington, DC, 20005, USA
Contacts
PRECISE-AI Coordinator

Full Description

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December 18, 2024 - Amendment 01 posted. This amended provides a revised Attachment 1, which requests Key Personnel information on the cover page. All other documents remain unchanged. The rapid advancement of artificial intelligence (AI) technologies is transforming healthcare by improving efficiencies, reducing costs, and enhancing health outcomes. This potential is evident with over 850 FDA-approved medical devices now incorporating AI functionalities, a tenfold increase from 2018 to 2023. However, the ability to ensure the ongoing safety and efficacy of these AI systems has not kept pace. The conventional safety testing approach relies heavily on pre-market testing, assuming that these initial results will predict long-term performance. However, pre-market results often fail to account for variations in operational processes and patient demographics, leading to unpredictable post-market performance that currently requires manual oversight by vendors. Performance and Reliability Evaluation for Continuous modIfications and uSEability of AI (PRECISE-AI) aims to create a suite of self-correction techniques that make it possible to automatically maintain peak model performance of predictive AI components across diverse clinical settings. PRECISE-AI will advance novel approaches to optimally support clinician decision-making and scalably manage the performance of AI Decision Support Tools (AI-DSTs) after their commercial deployment. Key areas of innovation include continuous monitoring capabilities, degradation detection, root cause analysis, self-correction, and bidirectional communication with clinicians. This program will establish an open-source repository of tools to autonomously maintain the performance of clinical AI-DSTs while enhancing the interpretability and actionability of AI model outputs. The program will test these innovations in real-world settings to demonstrate measurable improvements in clinical decision-making. This program addresses the pressing need for continuous monitoring and updating of clinical AI models to ensure they remain effective and trustworthy over time.

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