Evid Health- leveraging ready-at-hand technology to improve access to health

Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality.

Exacerbations result in an acute drop in oxygen saturation (SpO2) levels and early detection is pivotal to ensure timely intervention which, in turn, lowers the risk of hospitalisation and improves outcomes (Blondeel, 2021; Zhang et al., 2023; Patel et al., 2003).

We are building an AI-based “smartphone as pulse oximeter” solution that allows users with COPD to obtain their SpO2 by placing their finger over the rear camera of their smartphone.

We aim to integrate this technology into the primary care remote consulting workflow developed by our partners Fibricheck. We have developed a CNN-based AI model for estimating SpO2 from the "finger-tip videos".

When testing our AI model on a publicly available dataset we achieved a mean average error (MAE) of 1.86% (ISO standard requirement MAE