Taylor, Richard Andrew

How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 2,078

Predicting hospital admission at emergency department triage using machine learning

Hong, W. S., Haimovich, A. D., & Taylor, R. A. (2018) · PLOS ONE

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 326

Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding

Shung, D. L., Au, B., Taylor, R. A., Tay, J. K., Laursen, S. B., Stanley, A. J., Dalton, H. R., Ngu, J., Schultz, M., & Laine, L. (2020) · Gastroenterology

Gastrointestinal Bleeding Diagnosis and TreatmentHelicobacter pylori-related gastroenterology studies

Cited by 227

How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Gilson, A., Safranek, C., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2022) · medRxiv

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 172

Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics

Pavuluri, S., Sangal, R., Sather, J., & Taylor, R. A. (2024) · BMJ Health & Care Informatics

Artificial Intelligence in Healthcare and EducationHealthcare professionals’ stress and burnout

Cited by 129

Racial and Ethnic Disparities in Physical Restraint Use for Pediatric Patients in the Emergency Department

Nash, K. A., Tolliver, D. G., Taylor, R. A., Calhoun, A. J., Auerbach, M. A., Venkatesh, A. K., & Wong, A. H. (2021) · JAMA Pediatrics

Healthcare Decision-Making and RestraintsRestraint-Related Deaths

Cited by 86

Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Kanaparthy, N. S., Villuendas-Rey, Y., Bakare, T., Diao, Z., Iscoe, M., Loza, A., Wright, D., Safranek, C., Faustino, I. V., Brackett, A., et al. (2025) · JMIR AI

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 57

Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study

Socrates, V., Wright, D. S., Huang, T., Fereydooni, S., Dien, C., Chi, L., Albano, J., Patterson, B., Sasidhar Kanaparthy, N., Wright, C. X., et al. (2025) · JMIR Aging

Pharmaceutical Practices and Patient OutcomesArtificial Intelligence in Healthcare and Education

Cited by 17

Identifying incarceration status in the electronic health record using large language models in emergency department settings

Huang, T., Socrates, V., Gilson, A., Safranek, C., Chi, L., Wang, E. A., Puglisi, L. B., Brandt, C., Taylor, R. A., & Wang, K. (2024) · Journal of Clinical and Translational Science

Machine Learning in HealthcareCriminal Justice and Corrections Analysis

Cited by 12