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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.

Last published: June 2019

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

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

    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.

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