Obserwuj
Xiaohang Wu
Xiaohang Wu
Zhongshan Ophthalmic Center, Sun Yat-Sen Univerisity
Zweryfikowany adres z mail2.sysu.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis
J Wang, X Wu, W Lai, E Long, X Zhang, W Li, Y Zhu, C Chen, X Zhong, ...
BMJ open 7 (8), e017173, 2017
5592017
An artificial intelligence platform for the multihospital collaborative management of congenital cataracts
E Long, H Lin, Z Liu, X Wu, L Wang, J Jiang, Y An, Z Lin, X Li, J Chen, J Li, ...
Nature biomedical engineering 1 (2), 0024, 2017
3742017
Prevalence and epidemiological characteristics of congenital cataract: a systematic review and meta-analysis
X Wu, E Long, H Lin, Y Liu
Scientific reports 6 (1), 28564, 2016
2312016
Factors influencing subspecialty choice among medical students: a systematic review and meta-analysis
Y Yang, J Li, X Wu, J Wang, W Li, YI Zhu, C Chen, H Lin
BMJ open 9 (3), e022097, 2019
2142019
The prevalence of depression and depressive symptoms among eye disease patients: a systematic review and meta-analysis
Y Zheng, X Wu, X Lin, H Lin
Scientific reports 7 (1), 46453, 2017
1902017
Diagnostic efficacy and therapeutic decision-making capacity of an artificial intelligence platform for childhood cataracts in eye clinics: a multicentre randomized controlled …
H Lin, R Li, Z Liu, J Chen, Y Yang, H Chen, Z Lin, W Lai, E Long, X Wu, ...
EClinicalMedicine 9, 52-59, 2019
1792019
A universal artificial intelligence platform for collaborative management of cataracts
X Wu, Y Huang, Z Liu, W Lai, E Long, K Zhang, J Jiang, D Lin, K Chen, ...
The Lancet 394, S22, 2019
1382019
Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: a retrospective, multicentre machine learning study
H Lin, E Long, X Ding, H Diao, Z Chen, R Liu, J Huang, J Cai, S Xu, ...
PLoS medicine 15 (11), e1002674, 2018
1362018
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
D Lin, J Xiong, C Liu, L Zhao, Z Li, S Yu, X Wu, Z Ge, X Hu, B Wang, M Fu, ...
The Lancet Digital Health 3 (8), e486-e495, 2021
1142021
Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network
X Liu, J Jiang, K Zhang, E Long, J Cui, M Zhu, Y An, J Zhang, Z Liu, Z Lin, ...
PloS one 12 (3), e0168606, 2017
1072017
The combination of brain-computer interfaces and artificial intelligence: applications and challenges
X Zhang, Z Ma, H Zheng, T Li, K Chen, X Wang, C Liu, L Xu, X Wu, D Lin, ...
Annals of translational medicine 8 (11), 2020
1012020
Implementation of artificial intelligence in medicine: status analysis and development suggestions
Y Xiang, L Zhao, Z Liu, X Wu, J Chen, E Long, D Lin, Y Zhu, C Chen, Z Lin, ...
Artificial intelligence in medicine 102, 101780, 2020
892020
Intervention strategies for improving patient adherence to follow-up in the era of mobile information technology: a systematic review and meta-analysis
H Lin, X Wu
PLoS One 9 (8), e104266, 2014
872014
Meta‐analysis of accuracy of intraocular lens power calculation formulas in short eyes
Q Wang, W Jiang, T Lin, X Wu, H Lin, W Chen
Clinical & Experimental Ophthalmology 46 (4), 356-363, 2018
842018
Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images
Z Li, C Guo, D Nie, D Lin, Y Zhu, C Chen, X Wu, F Xu, C Jin, X Zhang, ...
Communications biology 3 (1), 15, 2020
822020
Screening candidates for refractive surgery with corneal tomographic–based deep learning
Y Xie, L Zhao, X Yang, X Wu, Y Yang, X Huang, F Liu, J Xu, L Lin, H Lin, ...
JAMA ophthalmology 138 (5), 519-526, 2020
752020
Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders
W Li, Y Yang, K Zhang, E Long, L He, L Zhang, Y Zhu, C Chen, Z Liu, ...
Nature Biomedical Engineering 4 (8), 767-777, 2020
702020
Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images
L Wang, K Zhang, X Liu, E Long, J Jiang, Y An, J Zhang, Z Liu, Z Lin, X Li, ...
Scientific reports 7 (1), 41545, 2017
622017
An interpretable and expandable deep learning diagnostic system for multiple ocular diseases: qualitative study
K Zhang, X Liu, F Liu, L He, L Zhang, Y Yang, W Li, S Wang, L Liu, Z Liu, ...
Journal of medical Internet research 20 (11), e11144, 2018
572018
Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images
J Lv, K Zhang, Q Chen, Q Chen, W Huang, L Cui, M Li, J Li, L Chen, ...
Annals of translational medicine 8 (11), 2020
522020
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