Application of artificial intelligence in myopia prevention and control
ABSTRACT The global incidence of myopia is increasing, and high myopia increases the risk of pathological myopia, which can lead to irreversible visual impairment, posing a significant global health concern. Artificial intelligence (AI) may be a solution to the myopia pandemic, with potential applic...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Pediatric Investigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ped4.70001 |
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| _version_ | 1849422570287267840 |
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| author | Nan Liu Li Li Jifeng Yu |
| author_facet | Nan Liu Li Li Jifeng Yu |
| author_sort | Nan Liu |
| collection | DOAJ |
| description | ABSTRACT The global incidence of myopia is increasing, and high myopia increases the risk of pathological myopia, which can lead to irreversible visual impairment, posing a significant global health concern. Artificial intelligence (AI) may be a solution to the myopia pandemic, with potential applications in early identification, risk stratification, progression prediction, and timely intervention to address unmet needs. AI has been developed to detect, diagnose, and predict the progression of myopia in both children and adults. In this review, the current state of AI technology applications in the field of myopia has been comprehensively reviewed, and the challenges, current development status, and future directions of AI have also been discussed, which hold great significance for the further application of AI in myopia management. |
| format | Article |
| id | doaj-art-5f0c85b25f344597a85cafc6c75be2d7 |
| institution | Kabale University |
| issn | 2574-2272 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Pediatric Investigation |
| spelling | doaj-art-5f0c85b25f344597a85cafc6c75be2d72025-08-20T03:31:02ZengWileyPediatric Investigation2574-22722025-06-019211412410.1002/ped4.70001Application of artificial intelligence in myopia prevention and controlNan Liu0Li Li1Jifeng Yu2Department of Ophthalmology Beijing Children's Hospital Capital Medical University National Center for Children's Health Key Laboratory of Major Diseases in Children Ministry of Education Beijing ChinaDepartment of Ophthalmology Beijing Children's Hospital Capital Medical University National Center for Children's Health Key Laboratory of Major Diseases in Children Ministry of Education Beijing ChinaDepartment of Ophthalmology Beijing Children's Hospital Capital Medical University National Center for Children's Health Key Laboratory of Major Diseases in Children Ministry of Education Beijing ChinaABSTRACT The global incidence of myopia is increasing, and high myopia increases the risk of pathological myopia, which can lead to irreversible visual impairment, posing a significant global health concern. Artificial intelligence (AI) may be a solution to the myopia pandemic, with potential applications in early identification, risk stratification, progression prediction, and timely intervention to address unmet needs. AI has been developed to detect, diagnose, and predict the progression of myopia in both children and adults. In this review, the current state of AI technology applications in the field of myopia has been comprehensively reviewed, and the challenges, current development status, and future directions of AI have also been discussed, which hold great significance for the further application of AI in myopia management.https://doi.org/10.1002/ped4.70001Artificial intelligenceDeep learningMachine learningMyopia |
| spellingShingle | Nan Liu Li Li Jifeng Yu Application of artificial intelligence in myopia prevention and control Pediatric Investigation Artificial intelligence Deep learning Machine learning Myopia |
| title | Application of artificial intelligence in myopia prevention and control |
| title_full | Application of artificial intelligence in myopia prevention and control |
| title_fullStr | Application of artificial intelligence in myopia prevention and control |
| title_full_unstemmed | Application of artificial intelligence in myopia prevention and control |
| title_short | Application of artificial intelligence in myopia prevention and control |
| title_sort | application of artificial intelligence in myopia prevention and control |
| topic | Artificial intelligence Deep learning Machine learning Myopia |
| url | https://doi.org/10.1002/ped4.70001 |
| work_keys_str_mv | AT nanliu applicationofartificialintelligenceinmyopiapreventionandcontrol AT lili applicationofartificialintelligenceinmyopiapreventionandcontrol AT jifengyu applicationofartificialintelligenceinmyopiapreventionandcontrol |