Artificial intelligence technology for myopia challenges: A review
Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Cell and Developmental Biology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2023.1124005/full |
| _version_ | 1797951415156473856 |
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| author | Juzhao Zhang Haidong Zou Haidong Zou Haidong Zou Haidong Zou |
| author_facet | Juzhao Zhang Haidong Zou Haidong Zou Haidong Zou Haidong Zou |
| author_sort | Juzhao Zhang |
| collection | DOAJ |
| description | Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image and data analysis and has been introduced to address challenges in the clinical practice of many ocular diseases. AI research in myopia is still in its early stages. Understanding the strengths and limitations of each AI method in specific tasks of myopia could be of great value and might help us to choose appropriate approaches for different tasks. This article reviews and elaborates on the technical details of AI methods applied for myopia risk prediction, screening and diagnosis, pathogenesis, and treatment. |
| first_indexed | 2024-04-10T22:31:16Z |
| format | Article |
| id | doaj.art-f2739b7f1a43407b8a76ab0076b25048 |
| institution | Directory Open Access Journal |
| issn | 2296-634X |
| language | English |
| last_indexed | 2024-04-10T22:31:16Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cell and Developmental Biology |
| spelling | doaj.art-f2739b7f1a43407b8a76ab0076b250482023-01-17T05:31:30ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2023-01-011110.3389/fcell.2023.11240051124005Artificial intelligence technology for myopia challenges: A reviewJuzhao Zhang0Haidong Zou1Haidong Zou2Haidong Zou3Haidong Zou4Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai Eye Diseases Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, ChinaNational Clinical Research Center for Eye Diseases, Shanghai, ChinaShanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, ChinaMyopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image and data analysis and has been introduced to address challenges in the clinical practice of many ocular diseases. AI research in myopia is still in its early stages. Understanding the strengths and limitations of each AI method in specific tasks of myopia could be of great value and might help us to choose appropriate approaches for different tasks. This article reviews and elaborates on the technical details of AI methods applied for myopia risk prediction, screening and diagnosis, pathogenesis, and treatment.https://www.frontiersin.org/articles/10.3389/fcell.2023.1124005/fullartificial intelligencemachine learningdeep learningrisk predictionmyopiaclassification |
| spellingShingle | Juzhao Zhang Haidong Zou Haidong Zou Haidong Zou Haidong Zou Artificial intelligence technology for myopia challenges: A review Frontiers in Cell and Developmental Biology artificial intelligence machine learning deep learning risk prediction myopia classification |
| title | Artificial intelligence technology for myopia challenges: A review |
| title_full | Artificial intelligence technology for myopia challenges: A review |
| title_fullStr | Artificial intelligence technology for myopia challenges: A review |
| title_full_unstemmed | Artificial intelligence technology for myopia challenges: A review |
| title_short | Artificial intelligence technology for myopia challenges: A review |
| title_sort | artificial intelligence technology for myopia challenges a review |
| topic | artificial intelligence machine learning deep learning risk prediction myopia classification |
| url | https://www.frontiersin.org/articles/10.3389/fcell.2023.1124005/full |
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