Tan, Gavin Siew Wei

Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045

Teo, Z. L., Tham, Y.-C., Yu, M., Chee, M. L., Rim, T. H., Cheung, N., Bikbov, M. M., Wang, Y. X., Tang, Y., Lu, Y., et al. (2021) · Ophthalmology

Retinal Diseases and TreatmentsRetinal Imaging and Analysis

Cited by 2,420

Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes

Ting, D. S. W., Cheung, C. Y.-L., Lim, G., Tan, G. S. W., Quang, N. D., Gan, A., Hamzah, H., Garcia-Franco, R., San Yeo, I. Y., Lee, S. Y., et al. (2017) · JAMA

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 2,402

Artificial intelligence and deep learning in ophthalmology

Ting, D. S. W., Pasquale, L. R., Peng, L., Campbell, J. P., Lee, A. Y., Raman, R., Tan, G. S. W., Schmetterer, L., Keane, P. A., & Wong, T. Y. (2019) · British Journal of Ophthalmology

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 1,554

Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study

Bellemo, V., Lim, Z. W., Lim, G., Nguyen, Q. D., Xie, Y., Yip, M. Y. T., Hamzah, H., Ho, J., Lee, X. Q., Hsu, W., et al. (2019) · The Lancet Digital Health

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 419

Artificial intelligence for diabetic retinopathy screening: a review

Grzybowski, A., Brona, P., Lim, G., Ruamviboonsuk, P., Tan, G. S. W., Abramoff, M., & Ting, D. S. W. (2020) · Eye

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 376

A deep learning system for predicting time to progression of diabetic retinopathy

Dai, L., Sheng, B., Chen, T., Wu, Q., Liu, R., Cai, C., Wu, L., Yang, D., Hamzah, H., Liu, Y., et al. (2024) · Nature Medicine

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 339

Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study

Xie, Y., Nguyen, Q. D., Hamzah, H., Lim, G., Bellemo, V., Gunasekeran, D. V., Yip, M. Y. T., Qi Lee, X., Hsu, W., Li Lee, M., et al. (2020) · The Lancet Digital Health

Retinal Imaging and AnalysisHealth Systems, Economic Evaluations, Quality of Life

Cited by 288

Integrated image-based deep learning and language models for primary diabetes care

Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 250

Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore

Nguyen, H. V., Tan, G. S. W., Tapp, R. J., Mital, S., Ting, D. S. W., Wong, H. T., Tan, C. S., Laude, A., Tai, E. S., Tan, N. C., et al. (2016) · Ophthalmology

Health Systems, Economic Evaluations, Quality of LifeRetinal Diseases and Treatments

Cited by 218

Artificial Intelligence in Diabetic Eye Disease Screening

Cheung, C. Y.-L., Tang, F., Ting, D. S. W., Tan, G. S. W., & Wong, T. Y. (2019) · Asia-Pacific Journal of Ophthalmology

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 82

Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults

Sabanayagam, C., He, F., Nusinovici, S., Li, J., Lim, C., Tan, G., & Cheng, C. Y. (2023) · eLife

Chronic Kidney Disease and DiabetesArtificial Intelligence in Healthcare

Cited by 51

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

Betzler, B. K., Chee, E. Y. L., He, F., Lim, C. C., Ho, J., Hamzah, H., Tan, N. C., Liew, G., McKay, G. J., Hogg, R. E., et al. (2023) · Journal of the American Medical Informatics Association

Retinal Imaging and AnalysisChronic Kidney Disease and Diabetes

Cited by 42

Hints for gentle submacular injection in non-human primates based on intraoperative OCT guidance

Tan, G. S. W., Liu, Z., Ilmarinen, T., Barathi, V. A., Chee, C. K., Lingam, G., Su, X., & Stanzel, B. V. (2021) · Translational Vision Science & Technology

Retinal and Macular SurgeryRetinal Diseases and Treatments

Cited by 21