Recent advances in the application of artificial intelligence in age-related macular degeneration
Recent advancements in ophthalmology have been driven by the incorporation of artificial intelligence (AI), especially in diagnosing, monitoring treatment and predicting outcomes for age-related macular degeneration (AMD). AMD is a leading cause of irreversible vision loss worldwide, and its increas...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2024-11-01
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| Series: | BMJ Open Ophthalmology |
| Online Access: | https://bmjophth.bmj.com/content/9/1/e001903.full |
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| _version_ | 1846167792519217152 |
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| author | Jian Xiong Yunwei Hu Guodong Li Yundi Gao Fen Xiong Zidan Chen Yucai Lin Xinjing Xia Yulan Yang |
| author_facet | Jian Xiong Yunwei Hu Guodong Li Yundi Gao Fen Xiong Zidan Chen Yucai Lin Xinjing Xia Yulan Yang |
| author_sort | Jian Xiong |
| collection | DOAJ |
| description | Recent advancements in ophthalmology have been driven by the incorporation of artificial intelligence (AI), especially in diagnosing, monitoring treatment and predicting outcomes for age-related macular degeneration (AMD). AMD is a leading cause of irreversible vision loss worldwide, and its increasing prevalence among the ageing population presents a significant challenge for managing the disease. AI holds considerable promise in tackling this issue. This paper provides an overview of the latest developments in AI applications for AMD. However, current limitations include insufficient and unbalanced data, lack of interpretability in models, dependence on data quality and limited generality. |
| format | Article |
| id | doaj-art-0414686b9f8b4b28a84bd7f50557b1f8 |
| institution | Kabale University |
| issn | 2397-3269 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Ophthalmology |
| spelling | doaj-art-0414686b9f8b4b28a84bd7f50557b1f82024-11-14T12:40:08ZengBMJ Publishing GroupBMJ Open Ophthalmology2397-32692024-11-019110.1136/bmjophth-2024-001903Recent advances in the application of artificial intelligence in age-related macular degenerationJian Xiong0Yunwei Hu1Guodong Li2Yundi Gao3Fen Xiong4Zidan Chen5Yucai Lin6Xinjing Xia7Yulan Yang8Ophthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaOphthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, ChinaRecent advancements in ophthalmology have been driven by the incorporation of artificial intelligence (AI), especially in diagnosing, monitoring treatment and predicting outcomes for age-related macular degeneration (AMD). AMD is a leading cause of irreversible vision loss worldwide, and its increasing prevalence among the ageing population presents a significant challenge for managing the disease. AI holds considerable promise in tackling this issue. This paper provides an overview of the latest developments in AI applications for AMD. However, current limitations include insufficient and unbalanced data, lack of interpretability in models, dependence on data quality and limited generality.https://bmjophth.bmj.com/content/9/1/e001903.full |
| spellingShingle | Jian Xiong Yunwei Hu Guodong Li Yundi Gao Fen Xiong Zidan Chen Yucai Lin Xinjing Xia Yulan Yang Recent advances in the application of artificial intelligence in age-related macular degeneration BMJ Open Ophthalmology |
| title | Recent advances in the application of artificial intelligence in age-related macular degeneration |
| title_full | Recent advances in the application of artificial intelligence in age-related macular degeneration |
| title_fullStr | Recent advances in the application of artificial intelligence in age-related macular degeneration |
| title_full_unstemmed | Recent advances in the application of artificial intelligence in age-related macular degeneration |
| title_short | Recent advances in the application of artificial intelligence in age-related macular degeneration |
| title_sort | recent advances in the application of artificial intelligence in age related macular degeneration |
| url | https://bmjophth.bmj.com/content/9/1/e001903.full |
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