Cheung, Carol Y.

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 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

AI-induced never-skilling in medical education

Ke, Y., Jin, L., Ong, J. C. L., Thirunavukarasu, A. J., Car, J., Cheung, C. Y., Tham, Y. C., Ting, D. S. W., Ong, M. E. H., Compton, S., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 71

Real-World Prospective Validation and Economic Evaluation of Deep Learning– Based Diabetic Retinopathy Detection From Fundus Photographs: A Systematic Review and Meta-analysis

Ran, A. R., Ding, J. L., Tang, Z., Lam, C., Nguyen, T. X., Zhou, J., Zhang, S., Fang, D., Yang, D., Ng, V., et al. (2026) · Diabetes Care

Retinal Imaging and AnalysisRetinal Diseases and Treatments

Cited by 7