Lim, Cynthia Ciwei

A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations

Sabanayagam, C., Xu, D., Ting, D. S. W., Nusinovici, S., Banu, R., Hamzah, H., Lim, C., Tham, Y.-C., Cheung, C. Y., Tai, E. S., et al. (2020) · The Lancet Digital Health

Retinal Imaging and AnalysisChronic Kidney Disease and Diabetes

Cited by 279

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

Artificial intelligence for diabetes care: current and future prospects

Sheng, B., Pushpanathan, K., Guan, Z., Lim, Q. H., Lim, Z. W., Yew, S. M. E., Goh, J. H. L., Bee, Y. M., Sabanayagam, C., Sevdalis, N., et al. (2024) · The Lancet Diabetes & Endocrinology

Artificial Intelligence in Healthcare and EducationDiabetes Management and Research

Cited by 106

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