Assoc Prof Bee Yong Mong

MBBS, MRCP(UK), FRCP Edin

Head ＆ Senior Consultant

Singapore General Hospital

Specialty/Department: Endocrinology

Clinical Interest: Diabetes, Lipids Disorders, General Endocrinology

Conditions Treated by this Doctor:
Hypertension, Hypertension, Lipid disorders, Type 2 Diabetes Mellitus.

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Clinical Appointments

Head ＆ Senior Consultant Endocrinology Singapore General Hospital
Senior Consultant SingHealth Duke-NUS Diabetes Centre

Academic Appointments

Clinical Associate Professor, Duke-NUS Medical School, Singapore
Clinical Assistant Professor, Department of Medicine, Yong Loo Lin School of Medicine, NUS
Adjunct Senior Lecturer, Lee Kong Chian School of Medicine, NTU

Profile

Dr. Bee Yong Mong is the Head and Senior Consultant of the Department of Endocrinology at Singapore General Hospital (SGH). He holds the position of Clinical Associate Professor within the Medicine… View More +

Education

FRCP (Edin), Royal College of Physicians (Edinburgh)
MRCP(UK), Royal College of Physicians (United Kingdom)
MBBS, National University of Singapore

Professional Appointments and Committee Memberships

Director, Data Science and Artificial Intelligence Laboratory, SGH
Senior Research Scientist, Centre for Population Health Research and Implementation (CPHRI), SingHealth Regional Health System (RHS)
Executive Committee Member, SingHealth Artificial Intelligence (AI) Office
President, Diabetes Singapore

Awards

National Day Award, Long Service Award (25 years), 2024
National Day Award, Public Administration Award (Bronze), 2023
SingHealth GCEO Excellence Award: Outstanding Researcher Award, 2023
Covid-19 Resilience Medal, 2023
SingHealth 20-Year Long Service Award, 2019

Publications

Lim DYZ, Chia SY, Hanis AK, Nur Nasyitah MS, Bee YM. Establishment of the SingHealth Diabetes Registry. Clinical Epidemiology 2021;13:215-223. PMID: 33762850
Sun X*, Bee YM*, Lam SW, Liu Z, Zhao W, Chia SY, Abdul Kadir H, Wu JT, Ang BY, Liu N, Lei Z, Xu Z, Zhao T, Hu G, Xie G. Effective treatment recommendations for type 2 diabetes management using reinforcement learning: treatment recommendation model development and validation. J Med Internet Res. 2021 Jul 22:23(7):e27858. PMID: 34292166. *Joint first authors.
Yeung KF, Gandhi M, Lam AYR, Julianty S, Chia AYM, Tan GCS, Goh SY, Ho ETL, Koh AFY, Tan GSW, Shum EJW, Finkelstein FA, Jafar TH, Teoh YL, van DAM RM, Whitton C, Thumboo J, Bee YM. The Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) program: study protocol for a randomized controlled trial. Trials 2-21 Aug 6;22(1):522. PMID: 34362409.
Bee YM, Tai ES, Wong TY. Singapore's "War on Diabetes". Lancet Diabetes & Endocrinology. 2022 Jun;10(6):391-392. PMID: 35483379
Tan JK, M Salim NN, Lim GH, Chia SY, Thumboo J, Bee YM. Trends in diabetes-related complications in Singapore, 2013-2020: A registry-based study. PLoS One. 2022 Oct 11;17(10):e0275920. doi: 10.1371/journal.pone.0275920. eCollection 2022. PMID: 36219616
Yeung KF, Lee YQ, Chong MFF, Gandhi M, Lam AYR, Julianty S, Tan GCS, Ho ETL, Goh SY, Tan GSW, Shum EJW, Finkelstein EA, Jafar TH, van Dam RM, Teoh YL, Thumboo J, Bee YM. Baseline characteristics of participants in the Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program. BMJ Open Diabetes Research and Care. 2022 Oct; 10(5):e002966. doi: 10.1136/bmjdrc-2022-002966. PMID: 36220198
Sng GGR, Tung JYM, Lim DYZ, Bee YM. Potential and pitfalls of ChatGPT and natural-language artificial intelligence models for diabetes education. Diabetes Care. 2023 2023 May 1;46(5):e103-e105. doi: 10.2337/dc23-0197. PMID: 36920843.
Sng GRG, Khoo YL, Yeo KK, Loh WJ, Aw TC, Khoo JJC, Lee LMY, Tan GCS, Tan HC, Bee YM. Comparison of existing methods of low-density lipoprotein cholesterol estimation in patients with type 2 diabetes mellitus. Annals Academy of Medicine Singapore. 2023 Jun 27;52(6):280-288. doi: 10.47102/annals-acadmedsg.2022477. PMID: 38904509
Sheng B, Guan Z, Lim LL, Jiang Z, Mathioudakis N, Li J, Liu R, Bao Y, Bee YM, Wang YX, Zheng Y, Tan GSW, Ji H, Car J, Wang H, Klonoff DC, Li H, Tham YC, Wong TY, Jia W. Large language models for diabetes care: Potentials and prospects. Sci Bull (Beijing). 2024 Mar 15;69(5):583-588. doi: 10.1016/j.scib.2024.01.004. Epub 2024 Jan 4. PMID: 38220476
Dalan R, Surian N, Batagov A, Wu A, Lai WB, Yan S, Bee YM. A digital twin model incorporating generalized metabolic fluxes to predict chronic kidney disease in diabetes. NPJ Digit Med. 2024 May 24;7(1):140. doi: 10.1038/s41746-024-01108-6. PMID: 38789510
Sheng B, Pushpanathan K, Guan Z, Lim QH, Lim ZW, Yew SME, Goh JHL, Bee YM, Sabanayagam C, Sevdalis N, Lim CC, Lim CT, Shaw J, Jia W, Ekinci EI, Simó R, Lim LL, Li H, Tham YC. Artificial intelligence for diabetes care: current and future prospects. Lancet Diabetes Endocrinology. 2024 Aug;12(8):569-595. doi: 10.1016/S2213-8587(24)00154-2. PMID: 39054035
Nambiar M, Bee YM, Chan YE, Ho Mien I, Guretno F, Carmody D, Lee PC, Chia SY, Salim NNM, Krishnaswamy P. A drug mix and dose decision algorithm for individualized type 2 diabetes management. NPJ Digit Med. 2024 Sep 17;7(1):254. doi: 10.1038/s41746-024-01230-5. PMID: 39289474