<scp>AI</scp> image analysis tools quantify schisis cystic volume in <scp>XLRS</scp> retinal dysmorphology

These two studies independently demonstrated the feasibility of automating the laborious process of quantifying retinoschisis cavity volume in XLRS patients. Further, automated AI-based cavity volume measurement was demonstrated to be feasible as a possible outcome for XLRS therapeutic trials.

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Publication Details

Journal
Acta Ophthalmologica
Published
2025-04-25
DOI
https://doi.org/10.1111/aos.17499
Citations
1
Primary Topic
Retinal and Macular Surgery
Type
article
Field-Weighted Citation Impact
1.36

Funders

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article

AI image analysis tools quantify schisis cystic volume in XLRS retinal dysmorphology

Paul A. Sieving
1 citations
Acta Ophthalmologica
Retinal and Macular Surgery
1.36
article

AI image analysis tools quantify schisis cystic volume in XLRS retinal dysmorphology

Paul A. Sieving
article en
1 citations

Abstract

These two studies independently demonstrated the feasibility of automating the laborious process of quantifying retinoschisis cavity volume in XLRS patients. Further, automated AI-based cavity volume measurement was demonstrated to be feasible as a possible outcome for XLRS therapeutic trials.

Acta OphthalmologicaVol. 103(6)
California Institute for Regenerative Medicine (US), University of California, Davis (US)
University of California, Davis
Openalex Percentile: Top 21%
Retinal and Macular Surgery
1.36
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