2024 Education course (full-day)


How AI is transforming clinical research and practice in ophthalmology

Saturday, May 4
8am – 4:30pm PT
Seattle Convention Center - Arch Building

  • Daniela Ferrara MD, PhD, FASRS —Genentech/Roche
  • Daniel S.W. Ting, MD, PhD — Singapore National Eye Centre
  • Dawn Sim, MBBS, FRCOphth, PhD — Genentech Roche

Ophthalmologists, optometrists, other clinicians, clinical scientists, and biomedical researchers interested in better understanding of AI in ophthalmology, its strengths and weaknesses, new developments, and future applications. 


Although ophthalmology has driven some of the earliest applications of AI in medicine, issues of reliability and inherent bias remain due to imperfect training data. These challenges must be overcome before AI can be more fully integrated into clinical practice. 

This course brings together experts in the field of AI research to provide a behind the scenes view of how AI programs are developed. Participants will discuss options to improve how data is collected, curated and annotated within the clinic setting to improve the quality of the AI training data sets. Options to be discussed include the use large language models to collect clinical data and the use of deep learning to examine image data. Participants will leave the course empowered to contribute to research efforts, make informed decisions, and drive advancements in this rapidly evolving field.

After attending this course, you will be able to:

  • Cite emerging trends and future directions in the clinical applications of AI in ophthalmology and visual sciences.
  • Recognize basic concepts in large language models in the context of ophthalmology and their potential applications.
  • Describe the latest updates and developments in ARVO, AAO, and NEI initiatives for AI and big data in ophthalmology and visual sciences.
  • Identify specific challenges and limitations associated with AI implementation in ophthalmology.
  • Identify potential biases and disparities that can arise in applications of AI in ophthalmology and evaluate different approaches and techniques for ensuring transparency and interpretability.

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Course fee

* Breakfast and lunch included with full-day course registration

course fee
Up to
March 8
March 9 -
April 26
April 26
Member $235 $290 $320
Member-in-training $175 $200 $220
Nonmember $310 $365 $395
Nonmember-in-training $215 $240 $260

This activity is not accredited and does not offer AMA PRA Category 1 Credit™.