Agbareia, Reem

Sociodemographic biases in medical decision making by large language models

Omar, M., Soffer, S., Agbareia, R., Bragazzi, N. L., Apakama, D. U., Horowitz, C. R., Charney, A. W., Freeman, R., Kummer, B., Glicksberg, B. S., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 173

Evaluating and addressing demographic disparities in medical large language models: a systematic review

Omar, M., Sorin, V., Agbareia, R., Apakama, D. U., Soroush, A., Sakhuja, A., Freeman, R., Horowitz, C. R., Richardson, L. D., Nadkarni, G. N., et al. (2025) · International Journal for Equity in Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 110

Benchmarking the confidence of large language models in answering clinical questions: Cross-sectional evaluation study

Omar, M., Agbareia, R., Glicksberg, B. S., Nadkarni, G. N., & Klang, E. (2025) · JMIR Medical Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 53

Applications of artificial intelligence in vasculitides: a systematic review

Omar, M., Agbareia, R., Naffaa, M. E., Watad, A., Glicksberg, B. S., Nadkarni, G. N., & Klang, E. (2025) · ACR Open Rheumatology

Kawasaki Disease and Coronary ComplicationsVasculitis and related conditions

Cited by 11

Benchmarking the Confidence of Large Language Models in Clinical Questions

Omar, M., Agbareia, R., Glicksberg, B. S., Nadkarni, G. N., & Klang, E. (2024) · medRxiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 10