WATERLOO, Ontario, Canada — In the latest issue of CORE’s (Centre for Ocular Research & Education) Contact Lens Update, artificial intelligence and myopia take center stage.
The publication highlights the potential AI has to rapidly transform myopia management, offering new capabilities for predicting progression, personalizing treatment and improving clinical decision-making. Issue 90 of Contact Lens Update focuses on the challenges, opportunities and paths forward.
“AI is not a substitute for clinicians, but it can augment their clinical reasoning. For myopia management, systems can already help synthesize complex scientific evidence, project progression and support personalized treatment decisions. This issue provides practitioners with a practical understanding of how AI can be integrated into daily care to improve outcomes for young myopic patients,” said Daddi Fadel, adjunct assistant professor at the University of Waterloo and a consultant for CORE.
Jeffrey J. Walline, a distinguished professor and associate dean at The Ohio State University College of Optometry, writes the issue’s opening editorial. He argues that while AI predicts average myopia progression in groups reasonably well, it remains poor at forecasting individual progression. He concludes that truly transformative AI for personalized myopia care does not yet exist, though it will likely emerge within our professional lifetime.
Nicola Logan, professor of Optometry and associate dean for Research & Enterprise at Aston University, U.K., provides the feature article that analyzes AI in myopia research, finding that use is growing rapidly yet remains focused on screening and prediction rather than treatment decisions. She concludes that meaningful clinical transformation will require more international data sharing, multi-ethnic studies and integrated decision-support systems.
The Clinical Insight features practical summaries of the International Myopia Institute’s (IMI’s) latest reports. These resources translate the latest evidence into actionable guidance for myopia management. They also support clinicians in risk assessment, treatment selection and patient communication.
Epifanio Ruiz Campos, OD, MSc, examines how AI can support clinical decision-making in myopia management. OPTOMYOPIA, an AI-powered augmented intelligence platform, integrates peer-reviewed literature and patient-specific data to synthesize complex evidence, supporting risk stratification and personalized treatment while demonstrating that AI should augment rather than replace clinicians.
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