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    In this edition of Advances in Eyecare three experts are discussing their fields of research and how it is applicable to optometric practice. The course includes an overview of the increasing role of artificial intelligence (AI) in clinical optometry, including the application of Bayes theory in clinical management. There is a review of recent research in the use of such technologies in glaucoma referral refinement and a look at the use of AI in OCT and image analysis to aid the overall accuracy and efficiency of the practitioner. 

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      Learning objectives

      • 2.5.3 Understand the latest techniques of artificial intelligence and machine learning as applied to clinical optometry.
      • 6.1.4 Understand the potential for Bayes theorem and artificial intelligence in supporting clinical decisions regarding treatment and referral.
      • 6.1.8 Understand the potential benefits of artificial intelligence and machine learning in glaucoma detection and referral.

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        Unit 1 - AI in clinical decision making (~14 mins)

        Mr Sameer Trikha

        AI has already shown much promise as a diagnostic tool in other healthcare fields, such as dermatology, in what has been dubbed by some as ‘the fourth world revolution’. Mr Sameer Trikha, a consultant ophthalmologist and founder and Chief Medical Officer at Visulytix Ltd., has worked on the development of several AI based clinical decision support systems designed for optometrists and other primary care providers. Geoff Watts discusses these systems with Sameer, who also gives us an introduction to the concepts behind AI and machine learning.

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        Unit 2 - Potential for AI in clinical optometry practice and education (~22 mins)

        Dr Mark Dunne

        The evolving area of referrals protocols (discussed in Advances in Eyecare: Referrals 2) has the potential to be transformed greatly by the application of artificial intelligence. Dr Mark Dunne at Aston University has worked on several research projects focused on using AI to enhance efficiency of referrals, with plans for more such projects underway. We caught up with Mark and Farah Raqib, a post-graduate researcher at Aston, to hear about the opportunities offered by AI within the field of optometry as well as their plans as to how these principles might be introduced into undergraduate optometry courses.

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        Unit 3 - Application of Bayes Theorem in glaucoma detection (~11 mins)

        Dr John Gurney

        As part of his role at Aston, Dr Mark Dunne has supervised several postgraduate projects including the research of Dr John Gurney, Director of Kent Eye Care and author of the paper “Application of naïve Bayesian artificial intelligence to referral refinement of chronic open angle glaucoma”. We meet with John to talk further about the principles of Bayesian analysis and the outcome of his research.

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        Evaluation

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