Generation of Fundus Fluorescein Angiography Videos for Health Care Data Sharing

This study demonstrated that an AI-driven text-to-video model generated FFA videos from textual descriptions, potentially improving visualization for clinical and educational purposes. The privacy-preserving nature of the model may address key challenges in data sharing while trying to ensure compliance with confidentiality standards.