Advances in Non-Imaging AI for Healthcare

November 30th, 2021 | 9:00am (PST)

Speaker: Dr. David Clifton, Professor of Clinical Machine Learning, University of Oxford

Title: Advances in Non-imaging AI for Healthcare

Abstract: As healthcare data are acquired in ever-growing quantities, new classes of AI algorithm are required to help humans understand and model these complex datasets, which now include recordings from millions of patients.  This seminar will introduce new developments in the rapidly-growing field of (non-imaging) "Clinical AI", demonstrating how data scientists can benefit from having "AI to help train the AI"; that is, machine learning networks involved in the construction of new machine learning networks.  It will demonstrate successful projects that have been translated into healthcare practice, and highlight on-going international developments in the field, with examples from collaborative work between clinicians and data scientists.

Bio: David A. Clifton is Professor of Clinical Machine Learning in the Department of Engineering Science of the University of Oxford, and OCC Fellow in AI & Machine Learning at Reuben College, Oxford.  He is a Research Fellow of the Royal Academy of Engineering, Visiting Chair in AI for Healthcare at the University of Manchester, and a Fellow of Fudan University, China.

He studied Information Engineering at Oxford's Department of Engineering Science, supervised by Prof. Lionel Tarassenko CBE, Chair of Electrical Engineering.  His research focuses on the development of machine learning for tracking the health of complex systems. His previous research resulted in patented systems for jet-engine health monitoring, used with the engines of the Airbus A380, the Boeing 787 "Dreamliner", and the Eurofighter Typhoon. Since 2008, he has focused mostly on the development of AI-based methods for healthcare. Patents arising from this collaborative research have been commercialised via university spin-out companies OBS Medical, Oxehealth, and Sensyne Health, in addition to collaboration with multinational industrial bodies. 

Prof. Clifton teaches the undergraduate mathematics syllabus and biomedical syllabus in Engineering Science.  He holds a Grand Challenge award from the UK Engineering and Physical Sciences Research Council, which is an EPSRC Fellowship that provides long-term strategic support for "future leaders in healthcare".  His research has been awarded over 35 academic prizes; in 2018, he was joint winner of the inaugural "Vice-Chancellor's Innovation Prize", which identifies the best interdisciplinary research across the entirety of the University of Oxford.