Authors: Wan Qi, Chen Li, Wei Ran, Yin Hongbo, Tang Jing, Deng Yingping, Ma Ke DOI: 10.3760/cma.j.cn115989-20240710-00187 Published: 2025 -04 -10 Citation Wan Qi, Chen Li, Wei Ran, et al. Machine learning-based prediction of accelerated corneal collagen cross-linking surgery outcomes[J]. Chin J Exp Ophthalmol, 2025, 43(4):323-334. DOI: 10.3760/cma.j.cn115989-20240710-00187. [Download PDF] [View Full Text] ABSTRACT Objective To use machine […]
Tag: Machine learning
Focusing on the application and challenges of artificial intelligence in uveal malignant melanoma
Authors: Ding Yungang, Li Yongping DOI: 10.3760/cma.j.cn115989-20240722-00206 Published: 2024-12-10 Citation Ding Yungang, Li Yongping. Focusing on the application and challenges of artificial intelligence in uveal malignant melanoma[J]. Chin J Exp Ophthalmol, 2024, 42(12):1084-1089. DOI: 10.3760/cma.j.cn115989-20240722-00206. ABSTRACT [Download PDF] [Read Full Text] Uveal malignant melanoma is one of the common […]
Consensus on the application of artificial intelligence in myopia (2024)
Authors: Expert Workgroup of Consensus on the application of artificial intelligence in myopia (2024), Ophthalmology Committee of International Association of Translational Medicine, Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association, Optometry Branch of Chinese Ethnic Medical Association, Chinese Ophthalmic Imaging Study Groups DOI: 10.3760/cma.j.cn115989-20231207-00200 Published 2024-08-10 Cite as Chin J Exp Ophthalmol, 2024, […]
Application status and progress of artificial intelligence in dry eye associated with meibomian gland dysfunction
Authors: Han Yabo, Yi Quanyong DOI: 10.3760/cma.j.cn115989-20220821-00385 Published 2024-02-10 Cite as Chin J Exp Ophthalmol, 2024, 42(2): 187-191. Abstract 【Read Full Text】【Download PDF】 In recent years, the incidence of dry eye disease has been increasing year by year due to environmental changes and […]
Application of artificial intelligence technologies in ocular anterior segment diseases diagnosis and myopia management
Authors: Zhou Yiwen, Yang Yanning DOI: 10.3760/cma.j.cn115989-20201014-00692 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 821-826. Abstract [View PDF] [Read Full Text] With the improvement of computing power, the refinement of learning algorithms and architectures and the disclosure of big data, many achievements pertaining […]
Application of machine learning in auxiliary diagnosis of corneal related diseases
Authors: Zhang Zijun, Liang Qingfeng DOI: 10.3760/cma.j.cn115989-20200201-00045 Published 2020-09-10 Cite as Chin J Exp Ophthalmol, 2020,38(09): 804-808. Abstract [View PDF] [Read Full Text] Machine learning, as the main technical direction of artificial intelligence, can help ophthalmologists to interpret and analyze the large amount of data […]
A study of the predictive effects of machine learning for the relationship between axial length elongation and the progression of myopia in school-aged children
Authors: Tang Tao, Fan Yuzhuo, Xu Qiong, Peng Zisu, Wang Kai, Zhao Mingwei DOI: 10.3760/cma.j.issn.2095-0160.2020.02.010 Published 2020-02-10 Cite as Chin J Exp Ophthalmol, 2020,38(02): 134-139. Abstract [View PDF] [Read Full Text] Objective To investigate the relationship between axial length (AL)elongation and the […]