A Glasgow-based firm has delivered a major breakthrough in paediatric healthcare, with AI software achieving up to 100% accuracy in detecting childhood sleep apnoea during clinical trials.
The platform, developed by Seluna, was tested on 500 children at NHS Greater Glasgow & Clyde. Clinicians found it identified severe cases with 100% accuracy, alongside 92% for moderate and 86% for mild cases, based on Apnea-Hypopnea Index (AHI) classification.
Crucially, the software processed each sleep study in under five minutes, with results falling within the normal variation seen between trained clinicians. Traditionally, these studies can take up to four hours per patient to analyse, creating significant pressure on specialist teams.
Dr Haytham Kubba at the Royal Hospital for Children Glasgow said the technology could help reduce delays and improve consistency, allowing clinicians to prioritise children most in need of treatment.
The findings, supported by the West of Scotland Innovation Hub, have been independently reviewed by specialists at Sheffield Children’s NHS Foundation Trust and University Hospital Southampton NHS Foundation Trust.
Seluna CEO Scott Black said the results demonstrate the software works on real NHS data, including the complex and often incomplete signals typical in paediatric sleep medicine. The next phase will expand trials to six NHS hospitals across the UK, with the aim of becoming market ready by the end of the year.
Paediatric sleep apnoea affects up to four per cent of children globally but remains widely under-diagnosed. The condition can lead to serious developmental and behavioural issues if untreated, while long waiting times and complex testing processes often delay diagnosis.
By supporting clinicians to interpret data more efficiently, Seluna’s platform aims to reduce pressure on health services and deliver faster answers for families—marking a significant step forward for Glasgow’s growing digital health innovation ecosystem.