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*Premarket AI screening tool for Data Integrity

Forecast
Federal

Contract Overview

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The Food and Drug Administration is seeking contractor resources for fiscal year 2027 to advance an artificial intelligence-based screening tool designed for data integrity review of premarket submissions. Building upon initial work by the Medical Data Enterprise group, this tool will automate the detection of forged, manipulated, or duplicated data, including images and test reports. By reducing the need for manual review, the initiative aims to increase efficiency in the premarket review lifecycle and strengthen accountability for submitters, especially those utilizing foreign testing laboratories. This forecast focuses on securing specialized technical capacity to transition the tool into a production-ready state, ensuring continuity from previous development efforts. The project aligns with agency priorities regarding the responsible adoption of AI to drive innovation and accelerate speed to market. Interested parties may contact the CDRH Acquisition Liaison for further information regarding this opportunity.

General Info

FDA seeks contractors to develop an AI tool for premarket submission data integrity.

NAICS

541512 - Computer Systems Design Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

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Organization & Contact Information

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AgencyFood and Drug Administration → Food And Drug Administration
Contacts2 people available
OfficeN/A
Office AddressN/A
Contacts
Cdrh Acquisition Liaison
To Be Determined To Be DeterminedContracting Officer

Full Description

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Building on foundational development work initiated by the Medical Data Enterprise (MDE) group, this proposal requests contractor resources in FY27 to advance an artificial intelligence (AI)-based screening tool for data integrity (DI) review of incoming premarket submissions. The tool will automate detection of patterns indicative of duplicated data (including raw data, images, and test reports), forged or manipulated data, and other data integrity anomalies across submission types. Automated DI screening will reduce reliance on manual review, preserving reviewer time and increasing efficiency throughout the premarket review lifecycle. This initiative directly supports Agency and Center priorities by promoting responsible AI adoption in regulatory review, driving innovation and speed to market, and strengthening accountability for submitters - with particular emphasis on those relying on foreign testing laboratories. Contractor engagement will ensure continuity with prior development efforts while providing the specialized technical capacity needed to bring the tool to a production-ready state.

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