Report Generation System for Slit-Lamp Image Interpretation Using Vision-Language Models

This study introduced a framework for SL report generation, which enhanced ophthalmic image interpretation and highlighted the potential of VLMs to assist ophthalmologists and patients.

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Publication Details

Journal
Ophthalmology and Therapy
Published
2026-03-14
DOI
https://doi.org/10.1007/s40123-026-01352-x
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Report Generation System for Slit-Lamp Image Interpretation Using Vision-Language Models

Yingjiao Shen, Xue Lü, Qian Chen, Kai Jin et al.
Ophthalmology and Therapy
Multimodal Machine Learning Applications
article

Report Generation System for Slit-Lamp Image Interpretation Using Vision-Language Models

Yingjiao Shen, Xue Lü, Qian Chen, Kai Jin, ANDRZEJ GRZYBOWSKI, Xin Ye, Wenbin Xie, Xiaoying He
article en

Abstract

This study introduced a framework for SL report generation, which enhanced ophthalmic image interpretation and highlighted the potential of VLMs to assist ophthalmologists and patients.

Ophthalmology and Therapy
Zhejiang Provincial People's Hospital (CN), Guizhou Provincial People's Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Hangzhou Medical College (CN), University of Warmia and Mazury in Olsztyn (PL)
Openalex Percentile: Top 22%
Multimodal Machine Learning Applications
DOIOpen Access PDFOpenAlex
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