---
title: "Prior Information Notice (PIN) for an innovation partnership to evaluate Artificial Intelligence (AI) developed for breast cancer detection in breast screening, for use in symptomatic setting"
ocid: "ocds-b5fd17-a6ba0b0d-e3bd-4aec-8c50-465c844b9607"
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markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-a6ba0b0d-e3bd-4aec-8c50-465c844b9607.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-a6ba0b0d-e3bd-4aec-8c50-465c844b9607.json"
source: "Contracts Finder"
current_stage: "Planning"
buyer: "ROYAL MARSDEN NHS FOUNDATION TRUST"
published: "2023-12-22"
---

# Prior Information Notice (PIN) for an innovation partnership to evaluate Artificial Intelligence (AI) developed for breast cancer detection in breast screening, for use in symptomatic setting

Buyer: ROYAL MARSDEN NHS FOUNDATION TRUST  
Current stage: Planning  
OCID: ocds-b5fd17-a6ba0b0d-e3bd-4aec-8c50-465c844b9607

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## Summary

The Royal Marsden NHS Foundation Trust is planning a tender for an innovation partnership to evaluate Artificial Intelligence developed for breast cancer detection in mammography. The procurement involves creating a partnership with an AI vendor to demonstrate the performance of their AI tool in breast screening, specifically in the symptomatic breast clinic. The contract period is scheduled from 1st April 2024 to 31st October 2025.

This tender provides an opportunity for businesses in the software development and consultancy services sectors, specifically those focused on programming and data services. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprise (VCSE) organisations are encouraged to participate. Interested parties can find more information on how to respond and submit expressions of interest on the planned procurement notice.

## Notice

The Royal Marsden NHS Foundation Trust (RM), working as part of a RM Partners (cancer alliance for north west and south west London) funded programme is seeking to create an innovation partnership to support a clinical research evaluation of an Artificial Intelligence (AI) tool developed for diagnosis of breast cancer on mammography images acquired in breast screening, in a retrospective study of use on images acquired in the symptomatic breast clinic. This procurement is to partner with an AI vendor to demonstrate performance of their AI tool developed for use in breast screening, in the context of the symptomatic breast clinic, using retrospective data. Further information, including details of how to respond and submit an expression of interest as part of Pre-Market Engagement, can be found at the end of this Notice. Additional information: ***IMPORTANT*** Further information, including details of how to respond and submit an expression of interest as part of Pre-Market Engagement, can be found within NWLPS published PIN via FTS - see URL below: https://www.find-tender.service.gov.uk/Notice/035814-2023 To Register on NWLPS eHealth Family Single eCommercial System (Atamis), please visit the following (further information can be found within the published PIN, details above) - see URL below: NHS North West London Procurement Services acting for and on behalf of the lead contracting authority* The Royal Marsden NHS FT 203 Fulham Road London SW3 6JJ *Lead contracting authority subject to review at ITT stage

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/9697c0ac-051e-4759-99b1-a9ecb8a29783 |
| Notice type | Planned Procurement Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Not Specified |
| Procurement method details | Not specified |
| Tender suitability | SME, VCSE |
| Awardee scale | Not specified |
| All stages | Planning |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 22 Dec 2023 |
| Submission deadline | Not specified |
| Future notice date | 5 Dec 2023 |
| Award date | Not specified |
| Contract period | 31 Mar 2024 - 31 Oct 2025 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Planned |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | ROYAL MARSDEN NHS FOUNDATION TRUST |
| Locality | LONDON |
| Post town | South West London |
| Postcode | SW3 6JJ |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI33 Kensington & Chelsea and Hammersmith & Fulham |
| Local authority | Kensington and Chelsea |
| Electoral ward | Stanley |
| Westminster constituency | Chelsea and Fulham |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 72 - IT services: consulting, software development, Internet and support

### Codes

- 72212000 - Programming services of application software
- 72221000 - Business analysis consultancy services
- 72243000 - Programming services
- 72246000 - Systems consultancy services
- 72262000 - Software development services
- 72263000 - Software implementation services
- 72266000 - Software consultancy services
- 72300000 - Data services

## Release History

- 22 Dec 2023 at 11:34 - Planning - Planned Procurement Notice - https://www.contractsfinder.service.gov.uk/Notice/9697c0ac-051e-4759-99b1-a9ecb8a29783
- 5 Dec 2023 at 15:34 - Planning - Planned Procurement Notice - https://www.contractsfinder.service.gov.uk/Notice/820ae3a7-3aae-4a99-b019-5770fe9f4cd0

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/9697c0ac-051e-4759-99b1-a9ecb8a29783
  22nd December 2023 - Future opportunity notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/820ae3a7-3aae-4a99-b019-5770fe9f4cd0
  5th December 2023 - Future opportunity notice on Contracts Finder

## Notice URLs

- https://www.find-tender.service.gov.uk/Notice/035814-2023

## Provenance

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