Macula Spatial Patterns and their Association with Central Visual Field Progression in Glaucoma using Artificial Intelligence
Using unsupervised artificial intelligence, characteristic patterns of macular thinning were identified and associated with central visual field progression. Spatial macular pattern analysis may enhance individualized care and improve risk stratification for those at risk of central VF damage.
Authors
- Golnoush Mahmoudinezhad (ORCID: https://orcid.org/0000-0002-9233-9882)
- Sasan Moghimi (ORCID: https://orcid.org/0000-0002-9375-4711)
- Varun Pawar
- Jiacheng Cheng
- Nuno Vasconcelos (ORCID: https://orcid.org/0000-0002-9024-4302)
- Evan Walker (ORCID: https://orcid.org/0000-0001-8566-0371)
- Massimo A. Fazio (ORCID: https://orcid.org/0000-0002-7489-089X)
- Siavash Beheshtaein (ORCID: https://orcid.org/0000-0002-1686-9865)
- Yu Xuan Yong
- V.S. Raghu Parupudi (ORCID: https://orcid.org/0009-0001-5888-4342)
- Jeffrey M. Liebmann
- Mark Christopher
- Soroosh Beheshtaein
- Robert N. Weinreb
- Takashi Nishida
- Christopher A. Girkin
- Leo Meller
- Naimul A. Alam
- Linda M. Zangwill
Institutions
- University of Alabama at Birmingham (US)
- University of California San Diego (US)
- Qualcomm (United States) (US)
- Deaconess Hospital (US)
- Public Health Foundation Enterprises (US)
- Smith-Kettlewell Eye Research Institute (US)
Publication Details
- Journal
- Journal of Glaucoma
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1097/ijg.0000000000002706
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00