Li, Ron C.

Discordance Between Apolipoprotein B and LDL-Cholesterol in Young Adults Predicts Coronary Artery Calcification

Wilkins, J. T., Li, R. C., Sniderman, A., Chan, C., & Lloyd-Jones, D. M. (2016) · Journal of the American College of Cardiology

Lipoproteins and Cardiovascular HealthCardiac Imaging and Diagnostics

Cited by 181

How Chatbots and Large Language Model Artificial Intelligence Systems Will Reshape Modern Medicine: Fountain of Creativity or Pandora’s Box?

Li, R., Kumar, A., & Chen, J. H. (2023) · JAMA Internal Medicine

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 104

Effectiveness of an Artificial Intelligence–Enabled Intervention for Detecting Clinical Deterioration

Gallo, R. J., Shieh, L., Smith, M., Marafino, B. J., Geldsetzer, P., Asch, S. M., Shum, K., Lin, S., Westphal, J., Hong, G., et al. (2024) · JAMA Internal Medicine

Healthcare Technology and Patient MonitoringMachine Learning in Healthcare

Cited by 58

User-centred design for machine learning in health care: a case study from care management

Seneviratne, M. G., Li, R. C., Schreier, M., Lopez-Martinez, D., Patel, B. S., Yakubovich, A., Kemp, J. B., Loreaux, E., Gamble, P., El-Khoury, K., et al. (2022) · BMJ Health & Care Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 23

Targeting repetitive laboratory testing with electronic health records-embedded predictive decision support: A pre-implementation study

Rabbani, N., Ma, S. P., Li, R. C., Winget, M., Weber, S., Boosi, S., Pham, T. D., Svec, D., Shieh, L., & Chen, J. H. (2023) · Clinical Biochemistry

Electronic Health Records SystemsHealthcare cost, quality, practices

Cited by 20