Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm
Our study provides clinicians with valuable prognostic markers to assist in identifying patients who are at critical risk for significant vision loss. Patients with a VFMD worse than -9.1 dB have a critical risk of a poor visual outcome, and this further increased if they identified as a minority patient.
Authors
- Ilene Trinh (ORCID: https://orcid.org/0000-0003-1252-1631)
- Devon A. Cohen (ORCID: https://orcid.org/0000-0002-0160-8435)
- Jeffrey Chu (ORCID: https://orcid.org/0009-0005-5306-3982)
- Nicholas K. Schiltz (ORCID: https://orcid.org/0000-0003-0122-6477)
- Jacqueline K. Shaia (ORCID: https://orcid.org/0000-0001-7873-669X)
- Katherine E. Talcott (ORCID: https://orcid.org/0000-0003-0458-4181)
- Taseen A Alam
- Rishi P. Singh
- Jenna R Rock
Institutions
- Cleveland Eye Clinic (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Journal of Neuro-Ophthalmology
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1097/wno.0000000000002340
- Citations
- 2
- Primary Topic
- Cerebral Venous Sinus Thrombosis
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Research to Prevent Blindness
- National Eye Institute