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This study investigates image-based prediction of visual acuity, the most important measure of eye function, using the ophthalmic foundation model MIRAGE based on uni- and multimodal retinal image input. The three imaging modalities optical coherence tomography (OCT), infrared reflectance scanning laser ophthalmoscopy and fundus autofluorescence as well as multimodal combinations thereof turn out to be suitable for image-based prediction of no/mild, moderate, or severe visual impairment for patients suffering from central serous chorioretinopathy (CSCR). Among these, OCT-based inputs achieve the best performance across evaluation metrics. Multimodal combinations, however, provide no additional benefit over the best unimodal approach, which suggests that OCT captures the most relevant information for estimating visual function in the presence of CSCR.

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Visual Acuity Assessment from Uni- and Multimodal Retinal Image Data using the Foundation Model MIRAGE

  • 会议论文

  • 发表日期：

    2026年

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  • Caroline v. Dresky,
  • Claus von der Burchard,
  • Monty Santarossa,
  • Julia Andresen,
  • Marc S. Seibel,
  • Timo Kepp,
  • Johann Roider,
  • Heinz Handels

摘要

This study investigates image-based prediction of visual acuity, the most important measure of eye function, using the ophthalmic foundation model MIRAGE based on uni- and multimodal retinal image input. The three imaging modalities optical coherence tomography (OCT), infrared reflectance scanning laser ophthalmoscopy and fundus autofluorescence as well as multimodal combinations thereof turn out to be suitable for image-based prediction of no/mild, moderate, or severe visual impairment for patients suffering from central serous chorioretinopathy (CSCR). Among these, OCT-based inputs achieve the best performance across evaluation metrics. Multimodal combinations, however, provide no additional benefit over the best unimodal approach, which suggests that OCT captures the most relevant information for estimating visual function in the presence of CSCR.