A Systematic Review of Advances in AI-Assisted Analysis of Fundus Fluorescein Angiography (FFA) Images: From Detection to Report Generation

Abstract Fundus fluorescein angiography (FFA) serves as the current gold standard for visualizing retinal vasculature and detecting various fundus diseases, but its interpretation is labor-intensive and requires much expertise from ophthalmologists. The medical application of artificial intelligence...

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Detalhes bibliográficos

Principais autores:	Tao Yu, An Shao, Hongkang Wu, Zichang Su, Wenyue Shen, Jingxin Zhou, Xingxi Lin, Danli Shi, Andrzej Grzybowski, Jian Wu, Kai Jin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Adis, Springer Healthcare 2025-02-01
coleção:	Ophthalmology and Therapy
Assuntos:	Artificial intelligence Fundus fluorescein angiography Ophthalmology Deep learning
Acesso em linha:	https://doi.org/10.1007/s40123-025-01109-y
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