Our innovations
Turning new ideas into better care
We work with engineers, data scientists and industry partners to develop surgical devices and artificial intelligence tools that make children’s care safer, more efficient and more accessible.
Projects
We are working on several projects related to medical devices and artificial intelligence.
These optimise the diagnosis and treatment of disease to make care safer, more efficient and enable greater access to minimising inequalities.
Hip Disease
Our collaboration with the University of Manchester has changed the way that hip images are interpreted.
Hip Dysplasia
Our collaboration with the University of Oxford is improving the identification of hip problems on babies undergoing ultrasound scans.
MSK Imaging Dataset
Aims to create a research database in the form of a comprehensive catalogue of musculoskeletal imaging, acquired during routine clinical care.
Artificial Intelligence
Hip Disease
Our collaboration with the University of Manchester has changed the way that hip images are interpreted.
Through a technology called BoneFinder, X-ray measurements that previously took doctors time can now be done automatically. For some children, such as those with Cerebral Palsy, if this is integrated to X-ray systems across the UK this could change the way that children are treated. Children affected by Cerebral Palsy could then have universal access to a prompt system for diagnosing hip disease, preventing the development of painful hip dislocations and complex surgery.
Artificial Intelligence
Hip Dysplasia
Our collaboration with the University of Oxford is improving the identification of hip problems on babies undergoing ultrasound scans.
1 in 1000 babies is born with a dislocated hip. An ultrasound scan may identify this problem early and enable early simple treatment. However, ultrasounding every newborn is expensive. However, the integration of artificial intelligence could reduce this cost, making ultrasound more accessible and more cost effective across.
Artificial Intelligence
Musculoskeletal (MSK) Imaging Dataset project
The Open Access Musculoskeletal (MSK) Imaging Dataset project aims to create a research database in the form of a comprehensive catalogue of musculoskeletal imaging, acquired during routine clinical care. All imaging data will be fully anonymised and enhanced with expert annotations to ensure high-quality, clinically relevant information.
This curated dataset will support academic research, and the development, training, and validation of computer vision models designed to assist in the diagnosis and prognostication of musculoskeletal injuries and diseases. By enabling advancements in AI-driven healthcare solutions, the project seeks to improve patient outcomes, support academic research, and drive commercial innovation within the musculoskeletal field.
