Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

We work closely with the Computational Health Informatics (CHI) Lab, focusing on "AI in healthcare", sometimes known as Clinical AI. This exists at the interface between machine learning and health informatics. 

Members of the CHI lab share a common interest in deep learning, Bayesian inference, and related methods. Our group has access to some of the world's largest, curated, anonymised healthcare datasets, and includes work with wearables and hospital data, across scales from the massively multivariate (including anonymised genomics) to the high-rate data acquired from medical devices.

Systems developed as a result of our collaborative work are routinely used in the care of patients within the UK National Health Service, and for improving access to healthcare in low- and middle-income countries (LMICs).

The Institute of Biomedical Engineering, of which the CHI Lab is a part, was awarded the Queen's Anniversary Prize, which recognises research institutions that have demonstrated excellence, innovation, impact, and societal benefit. The University of Oxford and the Department of Engineering Science (in which we are based) were both recently ranked first in their respective Times Higher Education world rankings.