SmartPLR: a digital solution for AI-powered smartphone pupillometry
Despite various smartphone applications developed to evaluate the PLR, they rely on additional add-ons or infrared light source. This prevents such applications from being completely commercialized. Our novel smartphone application, built on deep learning and not requiring infrared or additional devices, demonstrated high accuracy compared to the NPi-300.
Authors
- Dong Kyu Kim
- Kyungmin Kim (ORCID: https://orcid.org/0000-0003-1653-3795)
- Jeong Hoon Lee (ORCID: https://orcid.org/0000-0002-1789-8270)
- Yong Chan Kim (ORCID: https://orcid.org/0000-0003-4447-1042)
Institutions
- The Catholic University of Korea Incheon St. Mary's Hospital (KR)
- Dynamic Research (United States) (US)
- Catholic University of Korea (KR)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1186/s12886-025-04462-5
- Citations
- 1
- Primary Topic
- Astronomical Observations and Instrumentation
- Type
- article
- Field-Weighted Citation Impact
- 1.33