TOPIC
Exploring Innovations and Application of Artificial Intelligence in Evidence-based Eye Care
SPEAKER
Han Trinh
Clinical Optometrist, Associate Lecturer, and PhD Candidate
The University of Western Australia
Artificial Intelligence (AI) is rapidly transforming the landscape of modern eye care, offering new opportunities to enhance diagnosis, management, and research through evidence-based approaches. This presentation explores recent innovations and practical applications of AI in eye care, highlighting how machine learning and deep learning models are improving detection of retinal diseases, predicting disease progression, and supporting clinical decision-making. Emphasis is placed on the integration of AI into evidence-based practice, bridging the gap between technology, clinical expertise, and patient-centred care, and envisioning how AI can be harnessed to deliver more accessible and effective eye health services.
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Sunday, November 9th, 2025
9:30 AM (GMT), 3:00 PM (IST), 5:30 PM (AWST)
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Speaker Bio:-
Han is a Clinical Optometrist, Associate Lecturer and a PhD student within the Department of Optometry and Vision Sciences at the University of Western Australia. Throughout her experience as a Clinical Optometrist in community Optometry settings, she has developed a keen interest in technology for eye health and retinal diseases. Her research explores the role of artificial intelligence in solving challenges in the diagnosis and management of retinal diseases. Han is motivated by innovation, and compassionate and patient-centred care, and her ultimate research aim is to develop technologies that will improve eye health outcomes for patients across the world.
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