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.

Andrew Soltan

MB BChir MA (Cantab) MA (Oxon) MRCP


NIHR Academic Clinical Fellow & Dissertation Lead, MSc Applied Digital Health

  • Specialty Registrar in Medical Oncology, Oxford University Hospitals NHS Foundation Trust
  • Fellow in Clinical Artificial Intelligence
  • Dissertation Lead, MSc Applied Digital Health
  • NIHR Academic Clinical Fellow

I am a Fellow in Clinical Artificial Intelligence and Specialty Registrar in Medical Oncology at Oxford University Hospitals NHS Foundation Trust, and Dissertation Lead for the MSc in Applied Digital Health at the University of Oxford.

My research investigates the application of transformer-architecture models to routinely collected healthcare data, aiming to develop, evaluate and deploy clinical tools for Cancer care pathways.

During my NIHR Academic Clinical Fellowship, my research specialism was developing AI-enabled screening, diagnostic and prognostic tools using routinely collected healthcare data. Working with Professor David Clifton's Computational Health Informatics group, I led development and evaluation of an AI 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".

To support confidential development of AI models within the NHS, I have developed a platform for low-cost federated learning using inexpensive micro-computing devices. The CURIAL-Federated platform was piloted across 4 NHS Trusts in 2022 to train and evaluate a Covid-19 screening test, with participating hospitals retaining custody of their data at all times.

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.

Recent publications

More publications