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Endoscopy System

Active

Federal

Contract Overview

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

AI Contract Overview

The Food and Drug Administration is seeking to acquire an endoscopy system through a collaboration between OSEL and DIDSR to enhance scientific research capacity. This equipment will be utilized to develop bench testing methods for evaluating the safety and effectiveness of endoscopy devices, specifically focusing on color performance and the development of standalone tests for AI/ML projects led by Feng Yang and Wei-Chung Cheng. The acquisition is critical for OSEL to establish practical testing methods for sponsors to adopt in regulatory submissions and to analyze how specific endoscopy properties influence AI/ML performance. This forecast is managed by the FDA, with program coordination handled by the Cdrh Acquisition Liaison.

General Info

FDA seeks endoscopy system to develop safety testing methods for AI/ML research.

Agency

Food and Drug Administration → Food And Drug Administration

NAICS

111333 - Strawberry Farming

Place of Performance

USA

Set-Aside

NONE

Documents

No documents available

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Organization & Contact Information

AgencyFood and Drug Administration → Food And Drug Administration

Contacts2 people available

OfficeN/A

Organization / AgencyFood and Drug Administration → Food And Drug Administration

Office AddressN/A

Contacts

Cdrh Acquisition Liaison

contact@example.gov

To Be Determined To Be DeterminedContracting Officer

Full Description

Under FDA guidance, this collaboration between OSEL and DIDSR seeks to purchase an endoscope to ensure maximum scientific research capacity across the center and agency. An endoscope will enable OSEL researchers to develop bench testing methods for evaluating the safety and effectiveness of endoscopy devices. The system will be used for testing and developing color performance testing methods and for AI standalone test development as part of an AI/ML project under Feng Yang and Wei-Chung Cheng. Without this purchase, OSEL will be unable to recommend practical and sufficient testing methods in RSTs for sponsors to adopt and will be unable to evaluate how endoscopy properties and components impact AI/ML performance.