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​Prof. Kelvin Kam-fai TSOI 蔡錦輝教授

Prof. Kelvin Kam-fai TSOI


BSc, PhD (CUHK) 

Associate Professor


Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies.


He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in the Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing.


Professor Tsoi has published over 100 publications in Medical Journals and Short Papers in Engineering Conferences. With his efforts and contributions in the interdisciplinary research, he was awarded both “IBM Honorarium Award” at the International Conference on System Sciences and “The President’s Prize for Best Paper Presentation” at the Annual Scientific Meeting, Hong Kong College of Community Medicine in 2017. His research projects were further supported by Sustainable Knowledge Transfer Project Fund (SKPF) from the University. In 2019, he set up a social enterprise, DeepHealth Limited, at the Hong Kong Science and Technology Parks to promote artificial intelligent applications of wearable and mobile devices for better health management. His team developed a mobile blood pressure management platform with the application of image recognition techniques, so users can easily collect personal health data through the camera of their smart phones. He believes that healthcare start-ups potentially generate new forms of data for further epidemiological research.  


Professor Tsoi is an academic pioneer to encourage interdisciplinary collaboration between medical schools and engineering departments; and further promote research participation in Digital Health. He worked with his research collaborators from Stanford University, Columbia University, University of Rochester, University of Sydney, University of Leeds, University of Southampton, University of Reading, University of British Columbia, and National University of Singapore to organize the 1st International Symposium on Digital Health (ISDH2019). After the symposium, he was nominated as the President of the International Society for Digital Health to promote the interdisciplinary research network. With global vision and professional experience, he also serves as an advisor in the Society for Innovative Healthcare Hong Kong. This is an important action for him to apply his knowledge to serve our community in Hong Kong.

Research Interests

  • Hypertension and Cardiovascular Diseases

  • Cognitive Impairment and Dementia

  • Pharmacological use for Cancer Prevention

  • Personalized Healthcare Management with Digital Solution

Selected Publications

  1. Tsoi KKF, Chan NB, Yiu KKL, Poon SKS, Ho K, Lin B. Machine Learning Clustering for Blood Pressure Variability: Validation from the SPRINT to the Hong Kong Community Cohort. Hypertension 2019 (Accepted)

  2. Tsoi KKF, Ho JMW, Chan FCH, Sung JJY. Long-term use of low-dose aspirin for cancer prevention: A 10-year population cohort study in Hong Kong. International Journal of Cancer. 2019;145:267-273.

  3. Tsoi KK, Chan JY, Chan FC, Hirai, HW, Kwok TC, Wong SY. Monotherapy is Good Enough for Patients with Mild-to-moderate Alzheimer’s Disease: a Network Meta-analysis of 76 Randomized Controlled Trials. Clinical Pharmacology Therapy 2019;105:121-30.

  4. Tsoi KK, Chan NB, Chan FC, Zhang L, Lee AC, Meng HM. How can we better use Twitter to find a person who got lost due to Dementia? Nature Partner Journals: Digital Medicine 2018;1:14

  5. Tsoi KKF, Chan JYC, Hirai HW, Wong SYS. Comparison of diagnostic performance of Two-Question screen and 15 depression screening instruments for older adults: systematic review and meta-analysis. British Journal of Psychiatry 2017;210:255-260.

  6. Tsoi KK, Hirai HW, Chan FC, Griffiths S, Sung JJ. Predicted increases in incidence of colorectal cancer in developed and developing regions, in association with ageing populations. Clinical Gastroenterology and Hepatology 2017;15:892-900.

  7. Tsoi KKF, Chan JYC, Hirai HW, Wong SYS, Kwok TCY. Cognitive tests to detect dementia: A systematic review and meta-analysis. JAMA Internal Medicine 2015;175:1450-1458.

  8. Sung JJ, Ng SC, Chan FK, Chiu HM, Kim HS, Matsuda T, Ng SS, Lau JY, Zheng S, Adler S, Reddy N, Yeoh KG, Tsoi KK, Ching JY, Kuipers EJ, Rabeneck L, Young GP, Steele RJ, Lieberman D, Goh KL. An updated Asia Pacific Consensus Recommendations on colorectal cancer screening. Gut. 2015;64:121-32.

  9. Tsoi KK, Chiu PW, Chan FK, Ching JY, Lau JY, Sung JJ. The risk of peptic ulcer bleeding mortality in relation to hospital admission on holidays: a cohort study on 8,222 cases of peptic ulcer bleeding. American Journal of Gastroenterology 2012; 107:405-10

  10. Tsoi KK, Ma TK, Sung JJ. Endoscopy for upper gastrointestinal bleeding: how urgent is it? Nature Reviews Gastroenterology and Hepatology 2009;6(8):463-9.

Last Updated: 22 July 2020

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