Closed

Prior Information Notice (PIN) for an innovation partnership to develop Artificial Intelligence (AI) in mammography

Descriptions

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) based mammography analysis tool in a retrospective study of use in the symptomatic breast clinic.This procurement is to partner with a technology provider to demonstrate performance of an AI based mammography analysis tool in the context of the symptomatic breast clinic, using retrospective data. This project hypothesises that an AI based mammography analysis tool could be useful in the context of symptomatic breast clinic. However, these systems developed in the screening setting have unknown performance in the context of symptomatic breast clinic. It is therefore important to test the performance of these systems in this alternative setting.This work will be carried out in collaboration with the selected AI solutions provider and local clinical teams to define optimal use case scenarios for the symptomatic breast clinic. This project is funded by RM Partners, the cancer alliance for north west and south west London for 18 months and research ethics submission for a multi-centre, retrospective, diagnostic accuracy study is underway.The Authority is seeking to engage the market to work with the NHS organisations and identified stakeholders to further explore and define the technical and commercial delivery models that would underpin the partnership.Further information, including details of how to submit an expression of interest as part of Pre-Market Engagement, can be found at the end of this Notice.

Timeline

Pretender :

Not Identified

Published Date :

7th Dec 2023 in a 1 year

Deadline :

7th Dec 2024 in a 1 month

Contract Start :

N/A

Contract End :

N/A

Tender Regions

Let’s Get you Started ✍

Get to see all tender details more briefly

Already have an account ?

Workflows

Status :

Closed

Assign to :

Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors