Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023)
With the upsurge of artificial intelligence (AI) technology in the medical field, its application in ophthalmology has become a cutting-edge research field. Notably, machine learning techniques have shown remarkable achievements in diagnosing, intervening, and predicting ophthalmic diseases. To meet...
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| Format: | Article |
| Language: | English |
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Press of International Journal of Ophthalmology (IJO PRESS)
2023-09-01
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| Series: | International Journal of Ophthalmology |
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| Online Access: | http://ies.ijo.cn/en_publish/2023/9/20230902.pdf |
| _version_ | 1797739588736778240 |
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| author | Wei-Hua Yang Yi Shao Yan-Wu Xu Expert Workgroup of Guidelines on Clinical Research Evaluation of Artificial Intelligence in Ophthalmology (2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Intelligent Medicine Committee of Chinese Medicine Education Association |
| author_facet | Wei-Hua Yang Yi Shao Yan-Wu Xu Expert Workgroup of Guidelines on Clinical Research Evaluation of Artificial Intelligence in Ophthalmology (2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Intelligent Medicine Committee of Chinese Medicine Education Association |
| author_sort | Wei-Hua Yang |
| collection | DOAJ |
| description | With the upsurge of artificial intelligence (AI) technology in the medical field, its application in ophthalmology has become a cutting-edge research field. Notably, machine learning techniques have shown remarkable achievements in diagnosing, intervening, and predicting ophthalmic diseases. To meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI, the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and modification. The main content includes the background and method of developing this guideline, an introduction to international guidelines on the clinical research evaluation of AI, and the evaluation methods of clinical ophthalmic AI models. This guideline introduces general evaluation methods of clinical ophthalmic AI research, evaluation methods of clinical ophthalmic AI models, and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail, and amply elaborates the evaluation methods of clinical ophthalmic AI trials. This guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI, promote the development of regularization and standardization, and further improve the overall level of clinical ophthalmic AI research evaluations. |
| first_indexed | 2024-03-12T14:00:22Z |
| format | Article |
| id | doaj.art-fda172c79da3459f97901982c7d57add |
| institution | Directory Open Access Journal |
| issn | 2222-3959 2227-4898 |
| language | English |
| last_indexed | 2024-03-12T14:00:22Z |
| publishDate | 2023-09-01 |
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) |
| record_format | Article |
| series | International Journal of Ophthalmology |
| spelling | doaj.art-fda172c79da3459f97901982c7d57add2023-08-22T08:47:16ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982023-09-011691361137210.18240/ijo.2023.09.0220230902Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023)Wei-Hua Yang0Yi Shao1Yan-Wu Xu2Expert Workgroup of Guidelines on Clinical Research Evaluation of Artificial Intelligence in Ophthalmology (2023)Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education AssociationIntelligent Medicine Committee of Chinese Medicine Education AssociationYi Shao. Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China. freebee99@163.com; Yan-Wu Xu. School of Future Technology, South China University of Technology, Guangzhou 510641, Guangdong Province, China. ywxu@ieee.orgThe First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, ChinaSchool of Future Technology, South China University of Technology, Guangzhou 510641, Guangdong Province, China; Pazhou Lab, Guangzhou 510320, Guangdong Province, ChinaWith the upsurge of artificial intelligence (AI) technology in the medical field, its application in ophthalmology has become a cutting-edge research field. Notably, machine learning techniques have shown remarkable achievements in diagnosing, intervening, and predicting ophthalmic diseases. To meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI, the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and modification. The main content includes the background and method of developing this guideline, an introduction to international guidelines on the clinical research evaluation of AI, and the evaluation methods of clinical ophthalmic AI models. This guideline introduces general evaluation methods of clinical ophthalmic AI research, evaluation methods of clinical ophthalmic AI models, and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail, and amply elaborates the evaluation methods of clinical ophthalmic AI trials. This guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI, promote the development of regularization and standardization, and further improve the overall level of clinical ophthalmic AI research evaluations.http://ies.ijo.cn/en_publish/2023/9/20230902.pdfartificial intelligenceophthalmologyevaluationclinical researchmachine learningdeep learning |
| spellingShingle | Wei-Hua Yang Yi Shao Yan-Wu Xu Expert Workgroup of Guidelines on Clinical Research Evaluation of Artificial Intelligence in Ophthalmology (2023) Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association Intelligent Medicine Committee of Chinese Medicine Education Association Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) International Journal of Ophthalmology artificial intelligence ophthalmology evaluation clinical research machine learning deep learning |
| title | Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) |
| title_full | Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) |
| title_fullStr | Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) |
| title_full_unstemmed | Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) |
| title_short | Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023) |
| title_sort | guidelines on clinical research evaluation of artificial intelligence in ophthalmology 2023 |
| topic | artificial intelligence ophthalmology evaluation clinical research machine learning deep learning |
| url | http://ies.ijo.cn/en_publish/2023/9/20230902.pdf |
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