<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/BFA6C872-0332-4CCB-9A15-32A32D04887F" ns1:id="BFA6C872-0332-4CCB-9A15-32A32D04887F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/A642E3F0-9D8B-4BDE-9673-3455990BC9B6" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D94CE308-9B99-4B8C-8EB5-1C1F40C5155E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D94CE308-9B99-4B8C-8EB5-1C1F40C5155E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/DBDCEBD4-E8B4-423F-90E3-F0C500AC3599" ns1:rel="FUND" ns1:start="2023-09-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10076716</ns2:identifier></ns2:identifiers><ns2:title>Osteodent-AI: A Revolutionary Approach to Osteoporosis Detection</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Osteoporosis is a health condition that weakens bones, making them fragile and more likely to fracture. It develops slowly over several years, or even decades, without symptoms and is often only diagnosed when a fall or sudden impact causes a bone fracture.

According to the International Osteoporosis Foundation, 1 in 3 women and 1 in 5 men over the age of 50 years will experience osteoporotic fractures. In the UK alone, more than 500,000 people per year receive hospital treatment for osteoporosis fractures, with 75% of sufferers unaware that they have the condition.

Most osteoporosis related fractures are preventable. Early detection would provide opportunities for simple, effective measures (e.g. hormone treatment, medicines, moderate weight-bearing exercise) to greatly lower the risk of fractures occurring.

However, due to the lack of screening, most individuals are simply diagnosed too late.

Dentists use x-rays routinely to diagnose conditions such as tooth decay and jaw-bone loss, but these radiographs contain a wealth of additional information on a patient's general health which cannot be easily detected by a human clinician specialist maxillofacial radiologists. This project, led by Manchester Imaging Limited, will demonstrate use of an Artificial Intelligence (AI) digital healthcare solution to analyse these x-ray images for the diagnosis of osteoporosis.

This ground-breaking AI dental technology will move osteoporosis identification from post-fracture to pre-fracture, and allow much more effective treatment of this condition. This will significantly improve patient outcomes and quality-of-life, and save the NHS hundreds of millions each year.</ns2:abstractText></ns2:project>