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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

    ◄Learning objectivesUnit 2 - Potential for AI in clinical optometry practice and education (~22 mins)►

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

    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.

    ◄Learning objectivesUnit 2 - Potential for AI in clinical optometry practice and education (~22 mins)►