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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)

    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.

    Unit 1 - AI in clinical decision making (~14 mins)Unit 3 - Application of Bayes Theorem in glaucoma detection (~11 mins)