Huang, Ryan S.

Performance of an upgraded artificial intelligence chatbot for ophthalmic knowledge assessment.

Mihalache, A., Huang, R. S., Popovic, M. M., & Muni, R. H. (2023) · JAMA Ophthalmology

Artificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research

Cited by 67

Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review

Chen, D., Alnassar, S. A., Avison, K. E., Huang, R. S., & Raman, S. (2025) · JMIR Cancer

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 66

Assessment of resident and AI chatbot performance on the University of Toronto family medicine residency progress test: comparative study

Huang, R. S., Lu, K. J. Q., Meaney, C., Kemppainen, J., Punnett, A., & Leung, F.-H. (2023) · JMIR Medical Education

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 56

Performance of multimodal artificial intelligence chatbots evaluated on clinical oncology cases

Chen, D., Huang, R. S., Jomy, J., Wong, P., Yan, M., Croke, J., Tong, D., Hope, A., Eng, L., & Raman, S. (2024) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 49

Non-Obstetric Maternal Mortality Trends by Race in the United States

Huang, R. S., Spence, A. R., & Abenhaim, H. A. (2024) · Maternal and Child Health Journal

Maternal and fetal healthcareGlobal Maternal and Child Health

Cited by 13

Ocular Comorbidities Contributing to Death in the US

Huang, R. S., Mihalache, A., Popovic, M. M., Kertes, P. J., Wong, D. T., & Muni, R. H. (2023) · JAMA Network Open

Ophthalmology and Visual Impairment StudiesGlaucoma and retinal disorders

Cited by 10

Age-related disparities in national maternal mortality trends: A population-based study

Huang, R. S., Spence, A. R., & Abenhaim, H. A. (2025) · PLoS ONE

Maternal and fetal healthcareGlobal Maternal and Child Health

Cited by 9