Improving healthcare and animal welfare using statistical shape models

Impact: Health and wellbeing, Economic, Technological

Narrative

Reliable automatic methods for locating bones and organs in medical images are critical for many clinical and commercial challenges. Researchers at The University of Manchester have developed novel statistical shape and appearance models, which are capable of locating the outlines of structures in medical image, to a more robust and accurate level than was previously possible.

Four companies are using this technology to deliver fundamental improvements in their operations. This is benefiting adult and paediatric patients worldwide, saving clinicians vital time, and improving animal welfare in food production. Specifically this research has:
- Produced IP valued at [text removed for publication]
- Benefitted 50,000 joint replacement patients globally
- Diagnosed over 100,000 child growth abnormalities across the EU
- Enabled a global poultry company to improve accuracy and throughput of bird health.
Impact date1 Aug 2016 → 31 Jul 2020
Category of impactHealth and wellbeing, Economic, Technological
Impact levelAdoption

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures

Documents & Links

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