Artificial Intelligence and Deep Learning in Ophthalmology

The integration of Artificial Intelligence (AI) and Deep Learning in Ophthalmology is revolutionizing the diagnosis and management of eye diseases. This track invites submissions focused on the application of AI-driven technologies for early detection, image analysis, and decision-making in conditions such as diabetic retinopathy, glaucoma, and age-related macular degeneration. Topics may include the development of deep learning algorithms for automated screening, AI-assisted surgical tools, and predictive models that enhance clinical outcomes.

Researchers are encouraged to present advancements in AI-powered diagnostics, telemedicine applications, and the ethical considerations surrounding the use of AI in ophthalmic practice. This track aims to explore how AI and machine learning can transform patient care, improve accessibility, and reshape the future of ophthalmology.

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