Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials
This study demonstrates that fully automating image analysis allows thousands of images to be graded efficiently. The addition of the horizontality parameter enhances model performance, reduces error, and supports its relevance to specific Dry Eye manifestations. This automated method provides a continuous scale and greater sensitivity to treatment effects than standard clinical scales.
Authors
- Palak Gupta (ORCID: https://orcid.org/0000-0001-9689-8465)
- Ethan Bensinger
- George W Ousler (ORCID: https://orcid.org/0000-0002-0859-2763)
- Paul J Gomes (ORCID: https://orcid.org/0000-0002-1421-0186)
- Adam Hamm
- John David Rodriguez (ORCID: https://orcid.org/0000-0001-9394-6046)
- Carlos Gustavo De Moraes
- Mark B. Abelson
- Samanatha J Kerti
Institutions
- Harvard University (US)
- Columbia University Irving Medical Center (US)
- Andover Eye Associates (US)
- Tempe Union High School District (US)
Publication Details
- Journal
- Clinical ophthalmology
- Published
- 2025-03-01
- DOI
- https://doi.org/10.2147/opth.s506519
- Citations
- 5
- Primary Topic
- Ocular Surface and Contact Lens
- Type
- article
- Field-Weighted Citation Impact
- 9.39
Funders
- Aldeyra Therapeutics