Artificial Intelligence-Assisted Eye Surgery Training for Ophthalmology Residents: A Comprehensive Review

Abstract

The integration of artificial intelligence (AI) into ophthalmology education represents a paradigm shift in surgical training methodology. This comprehensive review examines the current state and future potential of AI-assisted eye surgery training for ophthalmology residents. We analyze various AI applications including virtual reality simulation, machine learning-based assessment tools, augmented reality guidance systems, and intelligent feedback mechanisms. The review synthesizes evidence from recent studies demonstrating improved surgical competency, reduced learning curves, and enhanced patient safety outcomes. Key challenges including implementation costs, technological limitations, and the need for standardized curricula are also discussed. As ophthalmology continues to embrace digital transformation, AI-assisted training platforms show promise in revolutionizing resident education while maintaining high standards of surgical excellence.