Zobrazeno 1 - 10
of 1 447
pro vyhledávání: '"W, Ting"'
Autor:
Valencia Hui Xian Foo, Gilbert Y. S. Lim, Yu-Chi Liu, Hon Shing Ong, Evan Wong, Stacy Chan, Jipson Wong, Jodhbir S. Mehta, Daniel S. W. Ting, Marcus Ang
Publikováno v:
Eye and Vision, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Background To describe the diagnostic performance of a deep learning (DL) algorithm in detecting Fuchs endothelial corneal dystrophy (FECD) based on specular microscopy (SM) and to reliably detect widefield peripheral SM images with an endot
Externí odkaz:
https://doaj.org/article/be859aeade5f429695a994b21fb5e377
Publikováno v:
BMJ Open Ophthalmology, Vol 8, Iss 1 (2023)
Externí odkaz:
https://doaj.org/article/8dc0f07685b9433f9fb4bef530f66ffc
Publikováno v:
Taiwan Journal of Ophthalmology, Vol 13, Iss 2, Pp 142-150 (2023)
Myopia as an uncorrected visual impairment is recognized as a global public health issue with an increasing burden on health-care systems. Moreover, high myopia increases one's risk of developing pathologic myopia, which can lead to irreversible visu
Externí odkaz:
https://doaj.org/article/9afcb91e21fa46629f8ad10799b7d177
Autor:
Li Lian Foo, Gilbert Yong San Lim, Carla Lanca, Chee Wai Wong, Quan V. Hoang, Xiu Juan Zhang, Jason C. Yam, Leopold Schmetterer, Audrey Chia, Tien Yin Wong, Daniel S. W. Ting, Seang-Mei Saw, Marcus Ang
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Our study aims to identify children at risk of developing high myopia for timely assessment and intervention, preventing myopia progression and complications in adulthood through the development of a deep learning system (DLS). Using a schoo
Externí odkaz:
https://doaj.org/article/e72948f36afe4c249d33a5c7e674590d
Autor:
Andy Wai Kan Yeung, Ali Torkamani, Atul J. Butte, Benjamin S. Glicksberg, Björn Schuller, Blanca Rodriguez, Daniel S. W. Ting, David Bates, Eva Schaden, Hanchuan Peng, Harald Willschke, Jeroen van der Laak, Josip Car, Kazem Rahimi, Leo Anthony Celi, Maciej Banach, Maria Kletecka-Pulker, Oliver Kimberger, Roland Eils, Sheikh Mohammed Shariful Islam, Stephen T. Wong, Tien Yin Wong, Wei Gao, Søren Brunak, Atanas G. Atanasov
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Digital health technologies have been in use for many years in a wide spectrum of healthcare scenarios. This narrative review outlines the current use and the future strategies and significance of digital health technologies in modern healthcare appl
Externí odkaz:
https://doaj.org/article/bf8036d28dfa46fc9da203755a4a38ec
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
The accelerated growth in electronic health records (EHR), Internet-of-Things, mHealth, telemedicine, and artificial intelligence (AI) in the recent years have significantly fuelled the interest and development in big data research. Big data refer to
Externí odkaz:
https://doaj.org/article/d2996804a60d4951880cd03f4ac73024
Autor:
Dinesh V. Gunasekeran, Feihui Zheng, Gilbert Y. S. Lim, Crystal C. Y. Chong, Shihao Zhang, Wei Yan Ng, Stuart Keel, Yifan Xiang, Ki Ho Park, Sang Jun Park, Aman Chandra, Lihteh Wu, J. Peter Campbel, Aaron Y. Lee, Pearse A. Keane, Alastair Denniston, Dennis S. C. Lam, Adrian T. Fung, Paul R. V. Chan, SriniVas R. Sadda, Anat Loewenstein, Andrzej Grzybowski, Kenneth C. S. Fong, Wei-chi Wu, Lucas M. Bachmann, Xiulan Zhang, Jason C. Yam, Carol Y. Cheung, Pear Pongsachareonnont, Paisan Ruamviboonsuk, Rajiv Raman, Taiji Sakamoto, Ranya Habash, Michael Girard, Dan Milea, Marcus Ang, Gavin S. W. Tan, Leopold Schmetterer, Ching-Yu Cheng, Ecosse Lamoureux, Haotian Lin, Peter van Wijngaarden, Tien Y. Wong, Daniel S. W. Ting
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundMany artificial intelligence (AI) studies have focused on development of AI models, novel techniques, and reporting guidelines. However, little is understood about clinicians' perspectives of AI applications in medical fields including opht
Externí odkaz:
https://doaj.org/article/fe8e3fac422b43d8bc8100d14ad83222
Autor:
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel S. W. Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-23 (2021)
Abstract Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches w
Externí odkaz:
https://doaj.org/article/fd25beaf97d74f9280c25347f7b195a2
Autor:
Fei Li, Diping Song, Han Chen, Jian Xiong, Xingyi Li, Hua Zhong, Guangxian Tang, Sujie Fan, Dennis S. C. Lam, Weihua Pan, Yajuan Zheng, Ying Li, Guoxiang Qu, Junjun He, Zhe Wang, Ling Jin, Rouxi Zhou, Yunhe Song, Yi Sun, Weijing Cheng, Chunman Yang, Yazhi Fan, Yingjie Li, Hengli Zhang, Ye Yuan, Yang Xu, Yunfan Xiong, Lingfei Jin, Aiguo Lv, Lingzhi Niu, Yuhong Liu, Shaoli Li, Jiani Zhang, Linda M. Zangwill, Alejandro F. Frangi, Tin Aung, Ching-yu Cheng, Yu Qiao, Xiulan Zhang, Daniel S. W. Ting
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-8 (2020)
Abstract By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and evaluate the performance of ‘iGlaucoma’, a smartphone applicatio
Externí odkaz:
https://doaj.org/article/481e146d7ee14aa8bb8e0910e851c4af
Autor:
Gilbert Lim, Valentina Bellemo, Yuchen Xie, Xin Q. Lee, Michelle Y. T. Yip, Daniel S. W. Ting
Publikováno v:
Eye and Vision, Vol 7, Iss 1, Pp 1-13 (2020)
Abstract Background Effective screening is a desirable method for the early detection and successful treatment for diabetic retinopathy, and fundus photography is currently the dominant medium for retinal imaging due to its convenience and accessibil
Externí odkaz:
https://doaj.org/article/95fdbb84294b41d0853c6c502dac0afd