Andrew Soltan

I am an NIHR-funded academic Cardiology & General Internal Medical Registrar at Oxford University Hospitals NHS Foundation Trust.

My research specialism is developing AI-enabled clinical decision support tools based upon routinely collected healthcare data. Previously, I have led development and evaluation of an AI-enabled screening test for COVID-19 in emergency departments, based upon blood tests and vital signs recorded within 1h of a patient arriving in hospital. The CURIAL AI test was piloted in Oxford's John Radcliffe Hospital Emergency Department in early-2021, and described in an accompanying The Lancet Digital Health commentary as "an elegant breakthrough to enhance the clinical decision-making process in the age of artificial intelligence". More recently, I am studying applications of federated learning to develop and evaluate AI models without transferring patient data away from the premises of participating NHS hospital groups.

Alongside my clinical and research interests, I lead the 10-week practical dissertation module for the MSc in Applied Digital Health. The dissertation placements offer students an immersive practical experience and chance to develop a specialism within the digital health research and translational pipeline, while expanding their professional networks. Previous project placements have included opportunities to work with local hospitals, health informatics and engineering research groups, and startups within the Oxford ecosystem.