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.

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

Closed

ARPA-H-SOL-25-113Federal

Submission Closed01/15/2025, 10:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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POSTED

about 22 hours ago

DEADLINE

in 2 months

AI Contract Overview

The PRECISE-AI contract, issued by the National Institutes of Health's Advanced Research Projects Agency for Health (ARPA-H), focuses on developing innovative solutions to enhance the reliability and usability of AI technologies in healthcare. Announced on December 18, 2024, the initiative addresses the challenges associated with the rapid adoption of AI in medical devices, which has grown significantly from 2018 to 2023, with over 850 FDA-approved devices now incorporating AI. As the conventional method of safety testing for these devices is proving insufficient, the contract outlines the need for continuous performance evaluation and automatic maintenance of AI systems to ensure their efficacy in clinical settings. The project aims to establish a suite of self-correction techniques within the program called Performance and Reliability Evaluation for Continuous modIfications and uSEability of AI (PRECISE-AI). These techniques are intended to sustain optimal model performance post-deployment by focusing on continuous monitoring, degradation detection, root cause analysis, and self-correction, with direct clinician communication. The program will also develop an open-source repository to autonomously manage clinical AI decision support tools, aiming for measurable improvements in clinical decision-making. The contract, identified by solicitation number ARPA-H-SOL-25-113, remains active with a response deadline set for January 15, 2025, highlighting its emphasis on ensuring AI technologies remain effective and trustworthy through continuous monitoring and updates. The point of contact for the contract is the PRECISE-AI Coordinator, and further details and resources are available through the provided links.

General Info

PRECISE-AI contract enhances AI reliability in healthcare through continuous monitoring and self-correction techniques.

Agency

Department Of Health And Human Services → NATIONAL INSTITUTES OF HEALTH

NAICS

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

Place of Performance

MD, USA

Set-Aside

NONE

Documents

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

presolicitation

High

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

innovative-solutions-opening

High

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

iso

High

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

sow

High

PRECISE-AI Proposers Day Presentation Slides

industry-day

Low

Amendment 01_Other Transaction Bundle Templates.zip

OT Bundle of Attachments.zip

Other Transaction Bundle Templates.zip

AI Contract Breakdown

Uniform Contract Format

Contract not broken down yet

CLEATUS splits the solicitation into Uniform Contract Format (UCF) sections: scope, pricing, deliverables, and evaluation criteria.

Timeline

1 update

PhaseClosed

PostedOct 28

Presolicitation

Type ChangedDec 16

Presolicitation → Solicitation

Notice updatedDec 18

The notice description changed.

Response DeadlineJan 15

Deadline has passed

Submission Closed

01/15/2025, 10:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Health And Human Services → NATIONAL INSTITUTES OF HEALTH

Contacts1 person available

OfficeBethesda, MD, 208920004, USA

Organization / AgencyDepartment Of Health And Human Services → NATIONAL INSTITUTES OF HEALTH

Office AddressBethesda, MD, 208920004, USA

Contacts

PRECISE-AI Coordinator

contact@example.gov

Full Description

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.