Research
Research
My research interests lie in the application and development of optimization and machine learning methodologies to generate actionable recommendations and inform policy for clinicians, healthcare systems, and health organizations.
Iqbal, H. A., Birnie, D., & Sun, C. L. F. (2026). Shortcut-aware modeling of serial ECGs for cardiac sarcoidosis. Machine Learning for Healthcare Conference (MLHC 2026), Research Track.
He, F., Huang, S., Wang, R., Chang, A., Phillips, J. L., & Sun, C. L. F. (2026). Machine learning for comparative antidepressant selection in major depressive disorder: Systematic review. JMIR Mental Health, 13, e89352.
Sun, C. L. F., & Thériault-Lauzier, P. (2026). Artificial intelligence and technology in cardiac disease. Canadian Journal of Cardiology, 42(5 Supplement), S111-S114.
Mullie, T., Puri, A., Bogner, E., Har, B., Murphy, C. J., Welsh, R. C., Tyrrell, B., Sun, C. L. F., & Lee, J. (2026). Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization. npj Digital Medicine, 9, 249.
Bogner, E., Har, B., Li, B., Southern, D. A., Sun, C. L. F., Welsh, R. C., Tyrrell, B., Murphy, C. J., Puri, A., & Lee, J. (2026). Comprehensive machine learning-enabled outcome prediction for patients with coronary artery disease using multicentre patient data. Canadian Journal of Cardiology, 42(6), 1384-1396.
Sun, C. L. F., Copenhaver, M. S., Zenteno Langle, A. C., Viscomi, B., Raeke, E., Daily, B. J., Dunn, P., & Levi, R. (2025). Improved intrahospital transport time via proximity-based staff assignments. Journal of the American Medical Informatics Association, 32(8), 1255-1266.
Moosavi, A., Huang, S., Vahabi, M., Motamedivafa, B., Tian, N., Mahmood, R., Liu, P., & Sun, C. L. F. (2024). Prospective human validation of artificial intelligence interventions in cardiology: A scoping review. JACC: Advances, 3(9 Part 2), 101202.
Sun CLF, Jaffe E, and Levi R. (2022). Increased emergency cardiovascular events among under-40 population in Israel during vaccine rollout and third COVID-19 wave. Scientific Reports, 12 (1).
Sun C. L., Li D., Zenteno A. C., Bravard M. A., Carolan P., Daily B., Elamin S., Ha J., Moore A., Safavi K., Yun B. J., Dunn P., Levi R., Richter J. M. (2022). Low volume bowel preparation is associated with reduced time to colonoscopy in hospitalized patients: a propensity matched analysis. Clinical and Translational Gastroenterology.
Stoesser, C. E., Boutilier, J. J., Sun, C. L., Brooks, S.C., Cheskes, S., Dainty, K.N., Feldman, M., Ko, D., Lin, S., Morrison, L.J., Scales, D.C., & Chan, T.C. (2021). Moderating effects of out-of-hospital cardiac arrest response characteristics on the association between EMS response time and survival. Resuscitation, 169, 31-38.
Karlsson L., Sun C. L., Torp-Pedersen C., Wodschow K., Ersbøll A. K., Wissenberg M., Hansen C. M., Morrison L. J., Chan T. C., Folke F. (2021). Implications for cardiac arrest coverage using straight-line versus route distance to nearest automated external defibrillator. Resuscitation. 167, 326-335.
Sun, C. L., Dyer, S., Salvia, J., Segal, L., Levi, R. (2021). Evidence of worse outcomes related to out-of-hospital cardiac arrest during the COVID-19 pandemic due to patient reluctance to seek care. Health Affairs, 10-1377.
Sun, C. L., Zuccarelli, E., Zerhouni, E. A., Lee, J., Muller, J., Scott, K. M., Lujan, A. M., & Levi R. (2020). Predicting COVID-19 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach. Journal of the American Medical Directors Association, 21 (11), 1533-1538.
Sun, C. L., Karlsson, L., Morrison, L. J., Brooks, S. C., Folke, F., & Chan, T. C. (2020). Effect of Optimized Versus Guidelines‐Based Automated External Defibrillator Placement on Out‐of‐Hospital Cardiac Arrest Coverage: An In Silico Trial. Journal of the American Heart Association. 9(17),
Leung, K. B., Sun, C. L., Yang, M., Allan, K. S., Wong, N., & Chan, T. C. (2020). Optimal in-hospital defibrillator placement. Resuscitation, 151, 91-98.
Karlsson, L., Hansen, C. M., Vourakis, C., Sun, C. L., Rajan, S., Søndergaard, K. B., Andelius, L., Lippert, F. K., Gislason, G. H., Chan, T. C., Torp-Pedersen C., & Folke F. (2020). Improving bystander defibrillation in out-of-hospital cardiac arrests at home. European Heart Journal: Acute Cardiovascular Care. (Available Online)
Sun, C. L., Karlsson, L., Torp-Pedersen, C., Morrison, L. J., Brooks, S. C., Folke, F., & Chan, T. C. (2019). In Silico Trial of Optimized Versus Actual Public Defibrillator Locations. Journal of the American College of Cardiology, 74(12), 1557-1567.
Sun, C. L., Karlsson, L., Torp-Pedersen, C., Morrison, L. J., Folke, F., & Chan, T. C. (2018). Spatiotemporal AED optimization is generalizable. Resuscitation, 131, 101-107.
Sun, C. L., Brooks, S. C., Morrison, L. J., & Chan, T. C. (2017). Ranking businesses and municipal locations by spatiotemporal cardiac arrest risk to guide public defibrillator placement. Circulation, 135(12), 1104-1119.
Sun, C. L., Demirtas, D., Brooks, S. C., Morrison, L. J., & Chan, T. C. (2016). Overcoming spatial and temporal barriers to public access defibrillators via optimization. Journal of the American College of Cardiology, 68(8), 836-845.