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LETTER TO EDITORS
Possible contribution of artificial intelligence to ophthalmologic services in rural areas
1
Division of Community and Family Medicine, Jichi Medical University, Japan
2
Graduate School of Public Health, St. Luke’s International University, Japan
3
Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Japan
Corresponding author
Kazuhiko Kotani
Division of Community and Family Medicine, Jichi Medical University, 3311-1 Yakushiji, 329-0498, Shimotsuke-City, Japan
Division of Community and Family Medicine, Jichi Medical University, 3311-1 Yakushiji, 329-0498, Shimotsuke-City, Japan
KEYWORDS
TOPICS
ABSTRACT
To the Editor,
We wish to thank Czesak et al. [1] for providing a valuable summary of how artificial intelligence (AI) is helping improve ophthalmological activities in rural areas. The shortage of ophthalmologic services in rural areas has been a concern in many countries [2], and as we are global rural investigators, we believe that our additional perspectives could add further highlights to the findings of Czesak et al. [1] on the contribution of AI to ophthalmologic services in rural areas.
REFERENCES (5)
1.
Czesak K, Gałuszka Z, Adamska O, Kamiński M, Pierzak A, Kamińska A. Is Artificial Intelligence an accurate tool for improving access to ophthalmological services in rural areas? A narrative review. Ann Agric Environ Med. 2025;32(2):320–322. doi:10.26444/aaem/195109.
2.
Kotani K. Expectation of tele-ophthalmology in remote areas including islands. Eye. 2024;38(9):1781–1781. doi:10.1038/s41433-024-02997-3.
3.
Anderson AE, Henry KA, Samadder NJ, Merrill RM, Kinney AY. Rural vs urban residence affects risk-appropriate colorectal cancer screening. Clin Gastroenterol Hepatol. 2013;11(5):526–33. doi:10.1016/j.cgh.2012.11.025.
4.
Zhang M, Sit JWH, Choi KC, Chow KM, Chan CWH. Effects of a theory driven and culturally tailored educational program on promoting cervical cancer screening in rural populations. Sci Rep. 2025;15(1):18540. doi:10.1038/s41598-025-02600-z.
5.
Kaplan RI, Chen M, Gupta M, Rosen RB. Impact of automated OCT in a high-volume eye urgent care setting. BMJ Open Ophthalmol. 2019;4(1):e000187. doi:10.1136/bmjophth-2018-000187.
| eISSN: | 1898-2263 |
| ISSN: | 1232-1966 |
Generation of the DOI (Digital Object Identifier) - task financed under the agreement No NrRCN/SP/0532/2021/1 by the Minister of Science and Higher
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