Optic Nerve Atrophy Conditions Associated With 3D Unsegmented Optical Coherence Tomography Volumes Using Deep Learning
Deep learning-based analysis of unsegmented OCT scans reliably distinguished between different forms of optic nerve atrophy, suggesting subtle, disease-specific structural patterns. This automated approach may support diagnostic efforts, guide clinical management of optic neuropathies, and complement less standardized imaging modalities and subjective clinical impressions.
Authors
- Randy H. Kardon (ORCID: https://orcid.org/0000-0002-3173-7123)
- Mona K. Garvin (ORCID: https://orcid.org/0000-0003-3299-3150)
- Brian Woods
- Mark J. Kupersmith
- David Szanto (ORCID: https://orcid.org/0000-0002-4640-4655)
- Jui-Kai Wang
- Asala Erekat
Institutions
- University of Iowa (US)
- Ollscoil na Gaillimhe – University of Galway (IE)
- University Hospital Galway (IE)
- Iowa City VA Health Care System (US)
- The University of Texas Southwestern Medical Center (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- JAMA Ophthalmology
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1001/jamaophthalmol.2025.2766
- Citations
- 5
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 8.54