
This is part three of The Evidence space episode 'Artificial Intelligence: hype or hope' with guests Prof Alastair Denniston and Dr Xiaoxuan Liu.
Carrying out a clinical trial of artificial intelligence, the use of design to eliminate bias and health data inequalities.
The Evidence Space podcast features experts from a variety of disciplines to share knowledge among healthcare professionals and the general public, proving the value of technology for health, care and life sciences.
In this week’s episode, we talk about clinical trials for artificial intelligence. Dr Peter Bannister is joined by our guests, Prof Alastair Denniston and Dr Xiaoxuan Liu, to discuss why you would want to carry out a clinical trial for an artificial intelligence intervention.
We also look at how clinical trials rely on good design, to ideally eliminate bias, but also on consistent reporting standards so that the results of the trial, whether good or bad, are made widely available.
*More about today's guests*
Alastair Denniston is an Honorary Professor in the College of Medical and Dental Sciences and Consultant Ophthalmologist (Uveitis and Medical Retina) at the University Hospitals Birmingham NHS Foundation Trust.
Alastair’s research interests are artificial intelligence and digital healthcare, with particular focus on the path to implementation. Within ophthalmology he has special expertise in ocular immunity, ocular imaging and outcome measurement in inflammatory eye disease.
He was awarded an MRC Clinical Research Training Fellowship in 2006, and completed his PhD in Dendritic Cell Regulation in the Ocular Microenvironment in 2009. His laboratory work in immunology is directed towards understanding what causes intraocular inflammation (uveitis) and other forms of inflammatory eye disease.
In the clinic with his collaborator Pearse Keane (University College London, UK), he has demonstrated the potential for newer forms of imaging such as Optical Coherence Tomography (OCT) to provide much-needed objective markers for intraocular inflammation (uveitis).
With Pearse Keane and colleagues across the UK and US, he has established EQUATOR, an international collaboration of researchers working on ‘Extended OCT-Quantification of Uveitis Activity for Trial Outcomes and Reporting’. He is a passionate advocate of the need to develop better measures for inflammatory eye diseases which are objective and quantifiable to improve the power of clinical trials and inform day-to-day treatment decisions.
This work is balanced by a prioritisation of patient reported outcomes (PROs) for ocular inflammatory disease (with his collaborator Prof Mel Calvert, Head of PROs Group University of Birmingham).
He regularly publishes research papers in scientific journals as well as reviews and book chapters, but is best known for writing the Oxford Handbook of Ophthalmology with Professor Philip Murray (Professor of Ophthalmology and Head of the Academic Unit of Ophthalmology, University of Birmingham).
Alastair is keen to promote awareness of ophthalmic research and has been actively involved with the MRC Max Perutz Science Writing Prize, the Big Bang and the British Science Festival. Alastair’s motivation, whether in research or in the clinic, is to improve our care of patients with potentially blinding ocular disease.
Dr Xiao Liu is a junior doctor in ophthalmology and a clinical researcher University Hospitals Birmingham NHS Foundation Trust. She is also an honorary research fellow under the Artificial Intelligence hub at Moorfields Eye Hospital Reading Centre in London.
She is currently completing her doctorate at the University of Birmingham, which aims to validate a novel imaging-based technique to quantify inflammation in the vitreous gel of the eye. Her interests in health data research are around diagnostic test evaluation (including algorithms as tests), transparency of reporting (particularly the development of reporting standards for machine learning in clinical studies and implementation of complex interventions into existing clinical pathways.
She is also part of the INSIGHT Health Data Research Hub for Eye Health and has recently joined the HDR UK Early Career Researcher Committee.
The Evidence Space podcast series can be found at the below:
*Spotify*
https://open.spotify.com/show/2mgwra1xuV46loSi3hMegC?si=V3XaY7KgTBG_OLkZywWqRA&dl_branch=1
*iTunes*
https://podcasts.apple.com/us/podcast/the-evidence-space/id1543399920
*Amazon Music*
https://music.amazon.com/podcasts/cb0789c3-89e9-44b7-8ac0-1ae76e472287/THE-EVIDENCE-SPACE
*Deezer*
https://deezer.page.link/zuFbVyQjXGkyfFVU7
For more information about the Evidence Space Podcast and how to get in touch, visit https://www.theiet.org/impact-society/sectors/healthcare/healthcare-podcasts/
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