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The Evidence Space #3- Artificial intelligence: hype or hope?

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Presentation
  • Duration: 25 mins
  • Publication date: 12 Aug 2021
  • Part of series The Evidence Space Podcasts

Abstract

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.

Keywords:
  • ai
  • ai in healthcare
  • ai intervention
  • bias and health data inequalities
  • care and life science
  • clinical trials
  • health data inequalities
  • healthcare design
  • healthcare podcast
  • healthcare standards
  • how technologies can be designed for the patient
  • iet podcast
  • patient data
  • share healthcare knowledge
  • technology for health
  • the evidence space
  • the evidence space podcast
  • value of technology for health

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Healthcare
Healthcare

Healthcare

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Sectors

Speakers

  • Dr Peter  Bannister

    Dr Peter Bannister

    The IET Healthcare Panel, Chair

    Dr Peter Bannister has held senior executive positions in multiple high-tech university spin-outs, has over 15 years’ experience translating novel imaging technologies from lab to market and is a senior advisor to companies working in fields such as AI and minimally-invasive surgery. He is VP Clinical Innovation at Mirada Medical, where he is product champion for deep learning radiation oncology systems.Peter was awarded his DPhil (PhD) from the University of Oxford, where he was one of the original developers of the Functional MRI of the Brain (FMRIB) Software Library for image analysis. Subsequently, he held a post-doctoral research appointment in machine learning for complex industrial systems in collaboration with Rolls-Royce Plc.
  • Dr Xiaoxuan Liu

    Dr Xiaoxuan Liu

    Xiao Liu is an ophthalmology specialist trainee in the West Midlands and a clinical researcher at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. Her doctoral research is around the validation of instrument-based technologies for detecting and quantifying inflammation in the eye. She is working with Professor Alastair Denniston’s team to develop a new technique based on optical coherence tomography (OCT), a non-invasive retinal imaging device, for the assessment of vitreous inflammation in uveitis.
  • Prof Alastair  Denniston

    Prof Alastair Denniston

    Alastair Denniston is Consultant Ophthalmologist at University Hospitals Birmingham NHSFT, AI Theme Lead for the Centre for Regulatory Science and Innovation, and Director of INSIGHT, the Health Data Research Hub for Eye Health. Alastair has particular interest in how we can ensure that the innovation within the broad field of ‘artificial intelligence’ is translated efficiently but safely to benefit patients. This includes improving the reporting standards of trials (CONSORT-AI and SPIRIT-AI), helping define the regulatory framework for AI in healthcare, and working with HDRUK and other relevant organisations to support the best of these innovations right through the implementation pathway.
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