The increasing prevalence of myopia has created growing interest in technologies that can support early identification, risk assessment, monitoring, and personalized management. Artificial intelligence and digital tools are being investigated to analyze patient characteristics, ocular measurements, lifestyle factors, and longitudinal data associated with myopia development and progression.
This session will explore AI-supported myopia prediction, digital monitoring systems, remote assessment, personalized intervention strategies, and technology-enabled patient engagement. Discussions will consider how data-driven approaches may help clinicians identify individuals at increased risk and monitor changes over time.
The session will also examine the challenges of long-term data collection, clinical validation, privacy, and implementation across different populations. Experts will discuss how digital technologies can complement established myopia-management strategies and support more individualized approaches to pediatric and adult vision care.