Course: Advances in Eyecare: Machine learning and artificial intelligence, Section: Learning objectives

Advances in Eyecare: Machine learning and artificial intelligence

General

Always Improving

No CPD Points

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 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.