Xu, Nicole Y.

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

Gordon, M., Daniel, M., Ajiboye, A., Uraiby, H., Xu, N. Y., Bartlett, R., Hanson, J., Haas, M., Spadafore, M., Grafton-Clarke, C., et al. (2024) · Medical Teacher

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 679

A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings

Klonoff, D. C., Wang, J., Rodbard, D., Kohn, M. A., Li, C., Liepmann, D., Kerr, D., Ahn, D., Peters, A. L., Umpierrez, G. E., et al. (2023) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes Management and Education

Cited by 295

Use of Continuous Glucose Monitors by People Without Diabetes: An Idea Whose Time Has Come?

Klonoff, D. C., Nguyen, K. T., Xu, N. Y., Gutierrez, A., Espinoza, J. C., & Vidmar, A. P. (2023) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 93

Six Digital Health Technologies That Will Transform Diabetes

Klonoff, A. N., Lee, W.-A. (., Xu, N. Y., Nguyen, K. T., DuBord, A., & Kerr, D. (2023) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchMobile Health and mHealth Applications

Cited by 44

A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinics

Xu, N. Y., Litake, O., Tully, J. L., Meineke, M. N., Sinha, A., Meyer, M., & Gabriel, R. A. (2025) · Journal of Clinical Monitoring and Computing

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 2