Generation of Fundus Fluorescein Angiography Videos for Health Care Data Sharing
2025 · 143(8): 623–632 · Article e251419
DOI: 10.1001/jamaophthalmol.2025.1419
Xinyuan Wu; Lili Wang; Ruoyu Chen; Bowen Liu; Weiyi Zhang; Xi Yang; Yifan Feng; Mingguang He; Danli Shi
Co-first AuthorPublished as Lili Wang
Overview
This work develops a text-to-video model that generates dynamic fundus fluorescein angiography videos from clinical reports, exploring privacy-preserving medical data sharing, clinical visualization, and education.
Personal Contribution
Contributed to study conception and design, data acquisition and interpretation, manuscript drafting, and statistical analysis.
BibTeX
@article{wu2025ffa,
title = {Generation of Fundus Fluorescein Angiography Videos for Health Care Data Sharing},
author = {Wu, Xinyuan and Wang, Lili and Chen, Ruoyu and Liu, Bowen and Zhang, Weiyi and Yang, Xi and Feng, Yifan and He, Mingguang and Shi, Danli},
journal = {JAMA Ophthalmology},
year = {2025},
volume = {143},
number = {8},
pages = {623--632},
doi = {10.1001/jamaophthalmol.2025.1419},
}
