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The Role of Artificial Intelligence in Optometric Diagnostics and Research

Expiry Date
: 12/02/2031
CPD Units
: 3.00 Points

A study presenting an AI framework using BERT and ARIMA to classify optometry research areas and forecast trends, demonstrating AI’s diagnostic potential and future impact on optometric practice.

Keywords: Optometry, artificial intelligence, deep learning, BERT, ARIMA, diagnostic imaging, predictive modelling, machine learning, ocular health, research forecasting.

Reading material:

Educational Objectives

Educational Aim:

To enhance practitioners’ understanding of AI-driven diagnostic and forecasting applications in optometry and their implications for clinical and research practice.

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. How deep learning models such as BERT can classify optometric research domains and support diagnostic decision-making.
  2. The role of timeseries forecasting in predicting future research and clinical trends in optometry.
  3. The potential clinical, educational, and accessibility benefits of integrating AI into optometric diagnostics and research workflows.

Instructions for this Module

  • Read the supplied reading material and complete the quiz that follows;
  • You have three attempts to pass the quiz;
  • The pass grade is 70%;
  • You need to pass the quiz to claim your CPD certificate;
  • Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

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