Advancing Geographic Atrophy Diagnosis: Imaging, Biomarkers & AI in Clinical Practice
Date: 11/03/2026 ()
Venue: https://us06web.zoom.us/webinar/register/WN_Zo_rbZp9RKK7z7EUTzmg0g#/registration, AUSTRALIA
Provider: Mivision
Contact: Nikki Byrne, [E] nikki@mivision.com.au, [P] 02 8336 8616
Activity Outline
Stay ahead in AMD and GA care—master multimodal
imaging, identify high-risk biomarkers, and discover how AI is shaping the
future of diagnosis and patient management.
This virtual webinar provides an in-depth
educational update on the evolving landscape of diagnosing Geographic Atrophy
(GA) and Age-related Macular Degeneration (AMD). The session will focus on
recognizing high-risk biomarkers, understanding differential diagnoses, and
leveraging advanced diagnostic equipment such as Optical Coherence Tomography
(OCT), Fundus Autofluorescence (FAF), and Retinal Photography to improve
patient care.
Participants will gain a comprehensive
understanding of multimodal imaging techniques used to assess and monitor AMD
and GA, including the advantages and limitations of each modality. The program
will build confidence in interpreting diagnostic test results and identifying
structural biomarkers that may predict disease progression. Additionally, the
webinar will address practical strategies for classifying AMD patients, with
emphasis on referral criteria for ophthalmology, and explore key considerations
in differential diagnoses for GA.
The session will also highlight the role of
artificial intelligence (AI) and machine learning in enhancing diagnostic
assistance and image analysis. Attendees will learn about practical
applications of AI-driven tools, how these technologies can be evaluated for
clinical use, and strategies for integrating them into existing clinical
reasoning frameworks to support decision-making and optimize patient
management.
The session will open with Professor Anthony
Kwan, followed by Optometrists Inez Hsing and Professor James Armitage,
who will share their real-world insights through case-based discussions,
offering practical strategies and examples to help stay at the forefront of GA
diagnosis and management
This educational update is designed for eye care
professionals seeking to deepen their knowledge of imaging modalities, improve
diagnostic accuracy, and understand the future impact of AI in Geography
Atrophy.
Learning Objectives
- To have a comprehensive understanding of different multimodal imaging techniques in assessing and monitoring patients with age-related macular degeneration (AMD) and geographic atrophy (GA), and the advantages and disadvantages of each modality
- To gain confidence in interpreting diagnostic testing results, and identify various structural biomarkers that may help to be predict progression risk
- To better understand how to classify AMD patients, with particular emphasis on when referral to ophthalmology may be indicated
- To better understand differential diagnoses in GA
- To understand how AI and machine learning can enhance diagnostic assistance and image analysis in AMD and GA, including practical applications and evaluation of diagnostic support tools
- To learn strategies for integrating AI-driven tools into existing clinical reasoning frameworks to support decision-making and improve patient management.
Max CPD hours awarded: 2
Session Information
| Name |
|---|
| Advancing Geographic Atrophy Diagnosis: Imaging, Biomarkers & AI in Clinical Practice |
| Clinical? |
| Yes |
| Interactive? |
| No |
| Therapeutic? |
| Yes |
| Duration of CPD Session/Module |
| 2 |
| Duration of CPD Session/Module inclusive of Assessment Component |
| 2 |