Applications of Artificial Intelligence in Myopia: Current and Future Directions
With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more wides...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-03-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.840498/full |
| _version_ | 1818313424525852672 |
|---|---|
| author | Chenchen Zhang Jing Zhao Zhe Zhu Yanxia Li Ke Li Yuanping Wang Yajuan Zheng |
| author_facet | Chenchen Zhang Jing Zhao Zhe Zhu Yanxia Li Ke Li Yuanping Wang Yajuan Zheng |
| author_sort | Chenchen Zhang |
| collection | DOAJ |
| description | With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more widespread. As one of the main causes of visual impairment, myopia has a high global prevalence. Early screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient's visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. In addition, AI models and wearable devices based on other forms of data also perform well in the behavioral intervention of myopia patients. Admittedly, there are still some challenges in the practical application of AI in myopia, such as the standardization of datasets; acceptance attitudes of users; and ethical, legal and regulatory issues. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period. |
| first_indexed | 2024-12-13T08:33:32Z |
| format | Article |
| id | doaj.art-589f0e12f2aa440e8e87412114c38cce |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-13T08:33:32Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-589f0e12f2aa440e8e87412114c38cce2022-12-21T23:53:42ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-03-01910.3389/fmed.2022.840498840498Applications of Artificial Intelligence in Myopia: Current and Future DirectionsChenchen ZhangJing ZhaoZhe ZhuYanxia LiKe LiYuanping WangYajuan ZhengWith the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more widespread. As one of the main causes of visual impairment, myopia has a high global prevalence. Early screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient's visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. In addition, AI models and wearable devices based on other forms of data also perform well in the behavioral intervention of myopia patients. Admittedly, there are still some challenges in the practical application of AI in myopia, such as the standardization of datasets; acceptance attitudes of users; and ethical, legal and regulatory issues. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period.https://www.frontiersin.org/articles/10.3389/fmed.2022.840498/fullartificial intelligencemachine learningdeep learningtelemedicinemyopia |
| spellingShingle | Chenchen Zhang Jing Zhao Zhe Zhu Yanxia Li Ke Li Yuanping Wang Yajuan Zheng Applications of Artificial Intelligence in Myopia: Current and Future Directions Frontiers in Medicine artificial intelligence machine learning deep learning telemedicine myopia |
| title | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
| title_full | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
| title_fullStr | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
| title_full_unstemmed | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
| title_short | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
| title_sort | applications of artificial intelligence in myopia current and future directions |
| topic | artificial intelligence machine learning deep learning telemedicine myopia |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.840498/full |
| work_keys_str_mv | AT chenchenzhang applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT jingzhao applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT zhezhu applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT yanxiali applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT keli applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT yuanpingwang applicationsofartificialintelligenceinmyopiacurrentandfuturedirections AT yajuanzheng applicationsofartificialintelligenceinmyopiacurrentandfuturedirections |