Bee, Yong Mong
Singapore General Hospital
7 papers on CoChatORCID 0000-0002-5482-2646
Most cited papers
- Verified
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
- Verified
Impact of Finerenone-Induced Albuminuria Reduction on Chronic Kidney Disease Outcomes in Type 2 Diabetes: A Mediation Analysis
Agarwal, R., Tu, W., Farjat, A. E., Farag, Y. M. K., Toto, R., Kaul, S., Lawatscheck, R., Rohwedder, K., Ruilope, L. M., Rossing, P., et al. (2023) · Annals of Internal Medicine
Chronic Kidney Disease and DiabetesHormonal Regulation and Hypertension
Cited by 109
- Verified
Low-Dose Levothyroxine Reduces Intrahepatic Lipid Content in Patients With Type 2 Diabetes Mellitus and NAFLD
Bruinstroop, E., Dalan, R., Cao, Y., Bee, Y. M., Chandran, K., Cho, L. W., Soh, S. B., Teo, E. K., Toh, S.-A., Leow, M. K. S., et al. (2018) · The Journal of Clinical Endocrinology & Metabolism
Liver Disease Diagnosis and TreatmentThyroid Disorders and Treatments
Cited by 108
- Verified
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
- Verified
Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review
Yang, Q., Bee, Y. M., Lim, C. C., Sabanayagam, C., Yim-Lui Cheung, C., Wong, T. Y., Ting, D. S. W., Lim, L.-L., Li, H., He, M., et al. (2025) · eClinicalMedicine
Retinal Imaging and AnalysisArtificial Intelligence in Healthcare
Cited by 38
- Verified
Machine learning–based prediction for high health care utilizers by using a multi-institutional diabetes registry: model training and evaluation
Tan, J. K., Quan, L., Salim, N. N. M., Tan, J. H., Goh, S.-Y., Thumboo, J., & Bee, Y. M. (2024) · JMIR AI
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 16
- Verified
Protocol update and baseline characteristics for the TRIal to slow the Progression of Diabetes (TRIPOD) randomized controlled trial
Bairavi, J., Gardner, D. S.-L., Yeoh, E., Tham, K. W., Gandhi, M., Tan, N. C., Lee, P. C., Lim, R. S. M., Adamjee, T., Cheung, Y. B., et al. (2023) · Trials
Diabetes Management and EducationMobile Health and mHealth Applications
Cited by 1
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