| Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes DSW Ting, CYL Cheung, G Lim, GSW Tan, ND Quang, A Gan, H Hamzah, ... Jama 318 (22), 2211-2223, 2017 | 1892 | 2017 |
| Digital technology and COVID-19 DSW Ting, L Carin, V Dzau, TY Wong Nature medicine 26 (4), 459-461, 2020 | 1695 | 2020 |
| Artificial intelligence and deep learning in ophthalmology DSW Ting, LR Pasquale, L Peng, JP Campbell, AY Lee, R Raman, ... British Journal of Ophthalmology 103 (2), 167-175, 2019 | 1050 | 2019 |
| Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis ZL Teo, YC Tham, M Yu, ML Chee, TH Rim, N Cheung, MM Bikbov, ... Ophthalmology 128 (11), 1580-1591, 2021 | 1021 | 2021 |
| Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review DSW Ting, GCM Cheung, TY Wong Clinical & experimental ophthalmology 44 (4), 260-277, 2016 | 971 | 2016 |
| Large language models in medicine AJ Thirunavukarasu, DSJ Ting, K Elangovan, L Gutierrez, TF Tan, ... Nature medicine 29 (8), 1930-1940, 2023 | 798 | 2023 |
| Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective JPO Li, H Liu, DSJ Ting, S Jeon, RVP Chan, JE Kim, DA Sim, ... Progress in retinal and eye research 82, 100900, 2021 | 449 | 2021 |
| Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis R Aggarwal, V Sounderajah, G Martin, DSW Ting, A Karthikesalingam, ... NPJ digital medicine 4 (1), 65, 2021 | 436 | 2021 |
| Digital screen time during the COVID-19 pandemic: risk for a further myopia boom? CW Wong, A Tsai, JB Jonas, K Ohno-Matsui, J Chen, M Ang, DSW Ting American journal of ophthalmology 223, 333-337, 2021 | 414 | 2021 |
| Deep learning in ophthalmology: the technical and clinical considerations DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ... Progress in retinal and eye research 72, 100759, 2019 | 407 | 2019 |
| Novel Coronavirus disease 2019 (COVID-19): The importance of recognising possible early ocular manifestation and using protective eyewear JPO Li, DSC Lam, Y Chen, DSW Ting British Journal of Ophthalmology 104 (3), 297-298, 2020 | 400 | 2020 |
| Logistic regression was as good as machine learning for predicting major chronic diseases S Nusinovici, YC Tham, MYC Yan, DSW Ting, J Li, C Sabanayagam, ... Journal of clinical epidemiology 122, 56-69, 2020 | 368 | 2020 |
| Artificial intelligence for diabetic retinopathy screening: a review A Grzybowski, P Brona, G Lim, P Ruamviboonsuk, GSW Tan, M Abramoff, ... Eye 34 (3), 451-460, 2020 | 305 | 2020 |
| Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study V Bellemo, ZW Lim, G Lim, QD Nguyen, Y Xie, MYT Yip, H Hamzah, J Ho, ... The Lancet Digital Health 1 (1), e35-e44, 2019 | 269 | 2019 |
| Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022 | 266 | 2022 |
| Artificial intelligence to detect papilledema from ocular fundus photographs D Milea, RP Najjar, Z Jiang, D Ting, C Vasseneix, X Xu, M Aghsaei Fard, ... New England Journal of Medicine 382 (18), 1687-1695, 2020 | 248 | 2020 |
| Development and validation of a deep learning system to detect glaucomatous optic neuropathy using fundus photographs H Liu, L Li, IM Wormstone, C Qiao, C Zhang, P Liu, S Li, H Wang, D Mou, ... JAMA ophthalmology 137 (12), 1353-1360, 2019 | 237 | 2019 |
| The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare YYM Aung, DCS Wong, DSW Ting British medical bulletin 139 (1), 4-15, 2021 | 224 | 2021 |
| An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs Z Li, S Keel, C Liu, Y He, W Meng, J Scheetz, PY Lee, J Shaw, D Ting, ... Diabetes care 41 (12), 2509-2516, 2018 | 223 | 2018 |
| AI for medical imaging goes deep DSW Ting, Y Liu, P Burlina, X Xu, NM Bressler, TY Wong Nature medicine 24 (5), 539-540, 2018 | 202 | 2018 |
