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December 4, 2025Translational Vision Science & TechnologyOpen Access

AI-Assisted Optical Coherence Tomography Segmentation for Enhanced Diagnosis of Inherited Retinal Diseases

Davide Scandella Martin S. Zinkernagel

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Key Points

Improved classification and detection of inherited retinal diseases reported through enhanced evaluation techniques.
Key metrics indicate significant advancements in diagnosis, with AI-assisted methods outperforming traditional techniques.
This analysis employs optical coherence tomography segmentation to improve the precision of retinal diagnostics.
Results suggest AI's role in refining disease detection could lead to better patient outcomes.

Implication

AI-assisted OCT evaluation enhances diagnosis and classification of inherited retinal diseases, indicating better detection outcomes.

Abstract

This AI-assisted OCT evaluation approach enhances ophthalmic diagnostics by improving IRD detection and classification.

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Cite This Study

Scandella et al. (2025) studied this question.

synapsesocial.com/papers/693624ba4fa91c937236ca91 https://doi.org/10.1167/tvst.14.12.8

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Deep Learning-Based Retinal Layer Segmentation in Optical Coherence Tomography Scans of Patients with Inherited Retinal DiseasesOriginal Research · 2023 · 15 citations
2Automated Detection of Retinal Diseases Using Artificial Intelligence-Enhanced Ocular Coherence Tomography Imaging: Bibliometric Analysis2025
3Artificial Intelligence in Inherited Retinal Diseases: Imaging-Based Applications and Emerging TrendsLongitudinal Study · 2026
4Artificial Intelligence Approaches for Optical Coherence Tomography in Early Disease DiagnosisReview · 2026
5Development Of a New Computational System Supported by Artificial Intelligence for Detection of Real-Time Retinal Diseases2025

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