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Daniel SW Ting
Daniel SW Ting
Singapore National Eye Center
Dirección de correo verificada de singhealth.com.sg
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Año
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
18032017
Digital technology and COVID-19
DSW Ting, L Carin, V Dzau, TY Wong
Nature medicine 26 (4), 459-461, 2020
16332020
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
9732019
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
9282016
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
8642021
Large language models in medicine
AJ Thirunavukarasu, DSJ Ting, K Elangovan, L Gutierrez, TF Tan, ...
Nature medicine 29 (8), 1930-1940, 2023
4792023
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
3962021
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
3932021
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
3922020
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
3872021
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
3822019
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
3282020
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
2872020
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
2532019
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
2382020
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
2262019
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
2132022
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
2122018
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
1962018
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
V Sounderajah, H Ashrafian, R Aggarwal, J De Fauw, AK Denniston, ...
Nature medicine 26 (6), 807-808, 2020
1902020
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