Showing articles associated with David Clifton

Professor David Clifton is Professor of Clinical Machine Learning, at the Institute of Biomedical Engineering, within the Department of Engineering Science. He runs an "AI for Healthcare" lab that specialises in analysing medical data from sensors, hospitals, and genomics, and which has some 30 researchers based at branches of his lab in Oxford and in Suzhou, China (as part of the Oxford University Centre for Advanced Research).

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

Professor Clifton's lab focuses on AI for infectious disease, hospital care, and the management of patients.

What are you working on right now?:

With the on-going pandemic, the "AI for Healthcare" lab is focused on a number of COVID-19 projects, bringing expertise in the use of AI for rich hospital data (such as in Emergency Departments and Intensive Care Units) to produce systems that can help clinicians and improve patient outcomes.  Examples include software-based tests for COVID-19; predicting the demands on various parts of the hospital such that resources (ventilators, critical-care beds, etc.) can be used efficiently; and determining the response to patients from various routine drugs with COVID-19.

Why is Oxford a good place to work in this field of research?
Oxford is one of the world's leading centres for both AI and medical research, where the "AI for Healthcare" lab at the intersection of both has very many opportunities to join leading clinicians with AI experts.  We have privileged, ethically-approved access to fully-anonymised patient data that makes our kind of research possible, and which can be fast-tracked into evaluations within the NHS via Oxford University Hospitals.

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David Clifton