Project-18-DMEK-Track: AI-Driven Corneal Transplant Monitoring System

Led the development of a clinical decision support system designed to optimize post-operative follow-up for Descemet Membrane Endothelial Keratoplasty (DMEK). Deployed advanced deep learning architectures (Operational Neural Networks and CNNs) to analyze Anterior Segment OCT imagery, automatically assessing graft health and triaging patients for advanced confocal microscopy. Supported by the TUBITAK 1507 program. (2024-2025)