Automated Retinal Vascular Analysis Reveals Response to Acetazolamide in Idiopathic Intracranial Hypertension
Deep learning-based retinal vessel metrics may provide an accessible biomarker for monitoring treatment response in papilledema.
Authors
- Randy H. Kardon (ORCID: https://orcid.org/0000-0002-3173-7123)
- Mona K. Garvin (ORCID: https://orcid.org/0000-0003-3299-3150)
- Aaron Golden (ORCID: https://orcid.org/0000-0001-8208-4292)
- Brian Woods
- Mark J. Kupersmith
- David Szanto (ORCID: https://orcid.org/0000-0002-4640-4655)
- L Stern (ORCID: https://orcid.org/0000-0002-5362-3004)
- Jui-Kai Wang
- Asala Erekat
Institutions
- University of Iowa (US)
- Ollscoil na Gaillimhe – University of Galway (IE)
- New York Eye and Ear Infirmary (US)
- University of Iowa Hospitals and Clinics (US)
- 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
- Translational Vision Science & Technology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1167/tvst.14.12.9
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- New York Eye and Ear Infirmary of Mount Sinai
- Canadian Institute for Theoretical Astrophysics
- Health Service Executive