<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/38F49C8B-6825-4111-8D8B-E0C64F67F89E" ns1:id="38F49C8B-6825-4111-8D8B-E0C64F67F89E"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/ADB8E81A-7A7A-487D-86E6-8D28B50831A0" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/076DAD95-264A-4256-8582-C78CE1974917" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3BD5A585-5D65-4F1F-843A-F538CC792700" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/076DAD95-264A-4256-8582-C78CE1974917" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D62D0A31-F627-4EF8-9B4B-4C87AB1C852E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/A27C25C7-4B19-40D1-BD6E-550E12746494" ns1:rel="FUND" ns1:start="2018-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">104192</ns2:identifier></ns2:identifiers><ns2:title>An Enhanced Artificial Intelligence Breast MRI Scanning System (IntelliScan)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>ISCF</ns2:leadFunder><ns2:abstractText>&amp;quot;Breast cancer is the most common type of cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2015 (second most common cancer overall). This represents about 12% of all new cancer cases and 25% of all cancers in women. According to the World Health Organisation (Global Heath Estimates 2013), over 50% of breast cancer cases and 42% of deaths occur in developed countries. This includes the UK, where one in 5 cases of breast cancer results in a fatality.

This project therefore seeks to develop INTELLISCAN, an Artificial Intelligence, machine learning enhanced breast MRI scanning system for use as a highly efficient, more accurate breast cancer screening tool. Our technology applies computer based image processing to deliver improved, instant, automated anomaly detection of breast MRI scans. &amp;quot;</ns2:abstractText></ns2:project>