Artificial intelligence for diabetic retinopathy screening: a review von Grzybowski, Andrzej, Brona, Piotr, Lim, Gilbert, Ruamviboonsuk, Paisan, Tan, Gavin S. W., Abramoff, Michael, Ting, Daniel S. W.

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Digital technology and COVID-19 von Ting, Daniel Shu Wei, Carin, Lawrence, Dzau, Victor, Wong, Tien Y.

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Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective von Li, Ji-Peng Olivia, Liu, Hanruo, Ting, Darren S.J., Jeon, Sohee, Chan, R.V. Paul, Kim, Judy E., Sim, Dawn A., Thomas, Peter B.M., Lin, Haotian, Chen, Youxin, Sakomoto, Taiji, Loewenstein, Anat, Lam, Dennis S.C., Pasquale, Louis R., Wong, Tien Y., Lam, Linda A., Ting, Daniel S.W.

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Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis von Aggarwal, Ravi, Sounderajah, Viknesh, Martin, Guy, Ting, Daniel S. W., Karthikesalingam, Alan, King, Dominic, Ashrafian, Hutan, Darzi, Ara

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AI for medical imaging goes deep von Ting, Daniel S. W., Liu, Yong, Burlina, Philippe, Xu, Xinxing, Bressler, Neil M., Wong, Tien Y.

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Deep learning in ophthalmology: The technical and clinical considerations von Ting, Daniel S.W., Peng, Lily, Varadarajan, Avinash V., Keane, Pearse A., Burlina, Philippe M., Chiang, Michael F., Schmetterer, Leopold, Pasquale, Louis R., Bressler, Neil M., Webster, Dale R., Abramoff, Michael, Wong, Tien Y.

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The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare von Aung, Yuri Y. M., Wong, David C. S., Ting, Daniel S. W.

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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group von Sounderajah, Viknesh, Ashrafian, Hutan, Aggarwal, Ravi, De Fauw, Jeffrey, Denniston, Alastair K., Greaves, Felix, Karthikesalingam, Alan, King, Dominic, Liu, Xiaoxuan, Markar, Sheraz R., McInnes, Matthew D. F., Panch, Trishan, Pearson-Stuttard, Jonathan, Ting, Daniel S. W., Golub, Robert M., Moher, David, Bossuyt, Patrick M., Darzi, Ara

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An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence von Ting, Daniel S.W., Lee, Aaron Y., Wong, Tien Y.

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Artificial intelligence for diabetic retinopathy screening, prediction and management von Gunasekeran, Dinesh V., Ting, Daniel S.W., Tan, Gavin S.W., Wong, Tien Y.

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Preparedness among Ophthalmologists: During and Beyond the COVID-19 Pandemic von Olivia Li, Ji-Peng, Shantha, Jessica, Wong, Tien Y., Wong, Edmund Y., Mehta, Jod, Lin, Haotian, Lin, Xiaofeng, Strouthidis, Nicholas G., Park, Ki Ho, Fung, Adrian T., McLeod, Stephen D., Busin, Massimo, Parke, David W., Holland, Gary N., Chodosh, James, Yeh, Steven, Ting, Daniel S.W.

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Logistic regression was as good as machine learning for predicting major chronic diseases von Nusinovici, Simon, Tham, Yih Chung, Chak Yan, Marco Yu, Wei Ting, Daniel Shu, Li, Jialiang, Sabanayagam, Charumathi, Wong, Tien Yin, Cheng, Ching-Yu

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Machine Learning Models for Predicting Long-Term Visual Acuity in Highly Myopic Eyes von Wang, Yining, Du, Ran, Xie, Shiqi, Chen, Changyu, Lu, Hongshuang, Xiong, Jianping, Ting, Daniel S. W, Uramoto, Kengo, Kamoi, Koju, Ohno-Matsui, Kyoko

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Artificial intelligence enabled smart digital eye wearables von RaviChandran, Narrendar, Teo, Zhen Ling, Ting, Daniel S W

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The Protective Impact of Telemedicine on Persons With Dementia and Their Caregivers During the COVID-19 Pandemic von Lai, Frank Ho-yin, Yan, Elaine Wai-hung, Yu, Kathy Ka-ying, Tsui, Wing-Sze, Chan, Daniel Ting-hoi, Yee, Benjamin K.

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Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045 Systematic Review and Meta-analysis von Teo, Zhen Ling, Tham, Yih-Chung, Yu, Marco, Chee, Miao Li, Rim, Tyler Hyungtaek, Cheung, Ning, Bikbov, Mukharram M., Wang, Ya Xing, Tang, Yating, Lu, Yi, Wong, Ian Y., Ting, Daniel Shu Wei, Tan, Gavin Siew Wei, Jonas, Jost B., Sabanayagam, Charumathi, Wong, Tien Yin, Cheng, Ching-Yu

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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre von Cheung, Carol Y., Xu, Dejiang, Cheng, Ching-Yu, Sabanayagam, Charumathi, Tham, Yih-Chung, Yu, Marco, Rim, Tyler Hyungtaek, Chai, Chew Yian, Gopinath, Bamini, Mitchell, Paul, Poulton, Richie, Moffitt, Terrie E., Caspi, Avshalom, Yam, Jason C., Tham, Clement C., Jonas, Jost B., Wang, Ya Xing, Song, Su Jeong, Burrell, Louise M., Farouque, Omar, Li, Ling Jun, Tan, Gavin, Ting, Daniel S. W., Hsu, Wynne, Lee, Mong Li, Wong, Tien Y.

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Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study von Lin, Duoru, Xiong, Jianhao, Liu, Congxin, Zhao, Lanqin, Li, Zhongwen, Yu, Shanshan, Wu, Xiaohang, Ge, Zongyuan, Hu, Xinyue, Wang, Bin, Fu, Meng, Zhao, Xin, Wang, Xin, Zhu, Yi, Chen, Chuan, Li, Tao, Li, Yonghao, Wei, Wenbin, Zhao, Mingwei, Li, Jianqiao, Xu, Fan, Ding, Lin, Tan, Gang, Xiang, Yi, Hu, Yongcheng, Zhang, Ping, Han, Yu, Li, Ji-Peng Olivia, Wei, Lai, Zhu, Pengzhi, Liu, Yizhi, Chen, Weirong, Ting, Daniel S W, Wong, Tien Y, Chen, Yuzhong, Lin, Haotian

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Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma von Sreejith Kumar, Ashish Jith, Chong, Rachel S, Crowston, Jonathan G, Chua, Jacqueline, Bujor, Inna, Husain, Rahat, Vithana, Eranga N, Girard, Michaël J. A, Ting, Daniel S. W, Cheng, Ching-Yu, Aung, Tin, Popa-Cherecheanu, Alina, Schmetterer, Leopold, Wong, Damon

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Pathologic myopia: advances in imaging and the potential role of artificial intelligence von Li, Yong, Foo, Li-Lian, Wong, Chee Wai, Li, Jonathan, Hoang, Quan V, Schmetterer, Leopold, Ting, Daniel S W, Ang, Marcus

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