Article

FFA-GPT: an Interactive Visual Question Answering System for Fundus Fluorescein Angiography

2023-09-22

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> While large language models (LLMs) have demonstrated impressive capabilities in question-answering (QA) tasks, their utilization in analyzing ocular imaging data remains limited. We aim to develop an interactive system that harnesses LLMs for report generation and visual question answering in the context of fundus fluorescein angiography (FFA).<bold>Methods:</bo...

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Literature Corpus work: 241e00c7-327a-5ae8-9c46-1989894430e6
DOI: 10.21203/rs.3.rs-3307492/v1

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