Showing articles associated with Andrew Soltan

Dr Andrew Soltan is an academic clinician applying artificial intelligence methods for early detection and prediction of disease. He has been awarded an NIHR Academic Clinical Fellowship (Cardiology) in the Platform Science and Bioinformatics priority research theme.

What is your main area(s) of interest/expertise? 

My interest is in solving healthcare problems with intelligent data-driven approaches. Alongside my clinical practice, I’ve been applying artificial intelligence (AI) methods to predict the course of disease and detect illness earlier than is currently possible. I’ve worked with academic and industry partners to deliver a series of data-driven healthcare projects, including AI tools that are being used internationally to detect treatable retinal diseases. 

What are you working on right now? 

I’m leading a programme to develop AI tools that can detect COVID-19 from routinely collected healthcare data (CURIAL). The CURIAL AI estimates the probability of having COVID-19 within the first hour of a patient arriving at the hospital using routinely collected and readily available clinical data, much sooner than the 12-48 hours turnaround time for the swab test. Our AI will guide expedited delivery of clinical care and assist patient streaming to support infection control in hospital. Clinical validation studies are anticipated to begin shortly. 

Why is Oxford a good place to work in this field of research? 

The Oxford nexus connects world-class engineering teams with academic clinical and speciality expertise. Bringing together clinicians at the John Radcliffe Hospital with engineering expertise in Professor David Clifton’s AI-for-Healthcare lab has enabled clinically-focussed and rapid development of the COVID-19 AI test.  

Find out more about Andrew 

https://www.hra.nhs.uk/covid-19-research/approved-covid-19-research/281832/ 

http://www.robots.ox.ac.uk/~davidc/projects_covid19.php 

Andrew Soltan
No articles have been associated to Andrew Soltan.