Deep learning–empowered low‐cost portable automated refraction system: A solution to the inadequate effective correction rate of refractive errors in resource‐limited areas
The deep learning-empowered TRDS system demonstrated high accuracy and portability. It offers a scalable solution to improve refractive error correction rates, aligning with WHO goals to enhance global eye health.
Authors
- Qilin Sun (ORCID: https://orcid.org/0000-0002-1906-9548)
- Wei Yieng Tang (ORCID: https://orcid.org/0000-0002-9901-4933)
- Zhen Yi (ORCID: https://orcid.org/0000-0002-9031-1245)
- Yan Huang (ORCID: https://orcid.org/0000-0001-7868-093X)
- Chang Hyun Hong (ORCID: https://orcid.org/0009-0009-9569-0457)
Institutions
- Beijing Tongren Hospital (CN)
- Chinese Academy of Sciences (CN)
- Shandong Institute of Automation (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Institute of Automation (CN)
- He Eye Hospital (CN)
Publication Details
- Journal
- Ophthalmic and Physiological Optics
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1111/opo.70027
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00