Deep Learning Based Quantification of Vitreous Hyperreflective Foci as a Biomarker for Intraocular Inflammation

Q: What does this research mean for the field?

An AI-driven deep learning pipeline can accurately quantify vitreous hyperreflective foci (vHRF) from OCT images, and the resulting vHRF volume density serves as a strong biomarker for detecting concurrent intraocular inflammation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Yaniv Cohen; Maxime Usdin; Matthew McLeod; Yusuke Kikuchi; Miao Zhang; Qi Yang; Marina Mesquida

doi:10.1016/j.xops.2026.101263

May 1, 2026Ophthalmology ScienceOpen Access

Deep Learning Based Quantification of Vitreous Hyperreflective Foci as a Biomarker for Intraocular Inflammation

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Key Points

The aim is to develop an AI-driven method for quantifying vitreous hyperreflective foci from OCT images and evaluate their link to intraocular inflammation.
Multi-center double-masked placebo-controlled clinical trial design
Deep learning segmentation model (UNETR) trained on OCT images
Assessment of vHRF metrics in a cohort of 369 patients from the GALLEGO trial.
The UNETR model achieved strong segmentation performance for identifying vHRF.
IOI-positive eyes had significantly elevated vHRF metrics (p<0.001), with vHRF volume density showing the strongest association (AUROC 0.84).
Filtered vHRF density showed a strong association with inflammation (OR per SD 1.62, 95% CI 1.26-2.07, p<0.001).

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Implication

Shows AI quantification of vitreous hyperreflective foci predicts intraocular inflammation, indicating its potential as a biomarker.

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Cite This Study

Cohen et al. (2026) studied this question.

synapsesocial.com/papers/6a1bcfb05783ba022b6fbb94 https://doi.org/10.1016/j.xops.2026.101263

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Deep Learning Based Quantification of Vitreous Hyperreflective Foci as a Biomarker for Intraocular Inflammation

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Deep Learning Based Quantification of Vitreous Hyperreflective Foci as a Biomarker for Intraocular Inflammation

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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