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7A21--Visn Radiology Artificial Intelligence

Combined synopsis/solicitation · VISN 1: New England VA Healthcare System Multiple Stations in accordance with SOW

Source: SAM.gov

Tender
Combined Synopsis/Solicitation

The scope of this solicitation is to procure and implement a Commercial Off The Shelf (COTS) Radiology Artificial Intelligence (AI) software platform for VISN 1 VA New England. The required platform shall utilize advanced AI techniques and Software as a Medical Device (SaMD) delivery models to support radiology workflows across all VISN 1 VA Medical Centers. The solution must integrate seamlessly

Status
Prospective
Sector
Commercial, Residential, Hospital
Location
United States of America
Updated
3 Nov 2026
Source
SAM.gov

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Tender Information

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The tender “7A21--Visn Radiology Artificial Intelligence” is a tender record in Taiyo, linked to the Commercial sector. It is issued for works, goods, or services related to VISN 1: New England VA Healthcare System Multiple Stations in accordance with SOW.

Participants

Not available for this record.

Status

Original status

combined synopsis/solicitation

Taiyo status

Prospective

Taiyo last update

2026-11-03

Contact

Not available for this record.

Description

Description

The scope of this solicitation is to procure and implement a Commercial Off The Shelf (COTS) Radiology Artificial Intelligence (AI) software platform for VISN 1 VA New England. The required platform shall utilize advanced AI techniques and Software as a Medical Device (SaMD) delivery models to support radiology workflows across all VISN 1 VA Medical Centers. The solution must integrate seamlessly with the VA Electronic Medical Health Record (EMHR), existing Picture Archive and Communications Systems (PACS), and radiology workflows to enable enhanced disease detection, improved diagnostic accuracy, and increased operational efficiency.

Original sector

Information

Location

Country

United States of America (USA)

Source

Source

SAM.gov

URL

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Record type

Tender

Sector

Commercial, Residential, Hospital

Article published date

2026-06-05

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