Alsentzer, Emily

Publicly Available Clinical

Alsentzer, E., Murphy, J., Boag, W., Weng, W.-H., Jindi, D., Naumann, T., & McDermott, M. (2019) · Proceedings of the 2nd Clinical Natural Language Processing Workshop

Machine Learning in HealthcareTopic Modeling

Cited by 1,736

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Zack, T., Lehman, E., Suzgun, M., Rodriguez, J. A., Celi, L. A., Gichoya, J., Jurafsky, D., Szolovits, P., Bates, D. W., Abdulnour, R.-E. E., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 510

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

Alsentzer, E., Rasmussen, M. J., Fontoura, R., Cull, A. L., Beaulieu-Jones, B., Gray, K. J., Bates, D. W., & Kovacheva, V. P. (2023) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 69

Do We Still Need Clinical Language Models?

Lehman, E., Hernandez, E., Mahajan, D., Wulff, J., Smith, M. J., Ziegler, Z., Nadler, D., Szolovits, P., Johnson, A., & Alsentzer, E. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 62

Holistic evaluation of large language models for medical tasks with MedHELM

Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Alsentzer, E., Li, M. M., Kobren, S. N., Noori, A., Undiagnosed Diseases Network, Kohane, I. S., & Zitnik, M. (2025) · npj Digital Medicine

Genomics and Rare DiseasesMachine Learning in Healthcare

Cited by 54

It’s Time to Bench the Medical Exam Benchmark

Raji, I. D., Daneshjou, R., & Alsentzer, E. (2025) · NEJM AI

Artificial Intelligence in Healthcare and EducationHealthcare cost, quality, practices

Cited by 42

The effect of microbial colonization on the host proteome varies by gastrointestinal location

Lichtman, J. S., Alsentzer, E., Jaffe, M., Sprockett, D., Masutani, E., Ikwa, E., Fragiadakis, G. K., Clifford, D., Huang, B. E., Sonnenburg, J. L., et al. (2016) · The ISME Journal

Gut microbiota and healthAdvanced Proteomics Techniques and Applications

Cited by 32

Leveraging large language models to foster equity in healthcare

Rodriguez, J. A., Alsentzer, E., & Bates, D. W. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 32

Why and How to Monitor Deployed AI Systems in Health Care

Keyes, T., Callahan, A., Pandya, A. S., Ambers, N., Banda, J. M., Fuentes, M., Lugtu, C., Masariya, P., Nallan, S., O’Brien, C., et al. (2026) · NEJM Catalyst

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 10

Simulation of undiagnosed patients with novel genetic conditions

Alsentzer, E., Finlayson, S. G., Li, M. M., Undiagnosed Diseases Network, Kobren, S. N., & Kohane, I. S. (2023) · Nature Communications

Genomics and Rare DiseasesBiomedical Text Mining and Ontologies

Cited by 10

Monitoring Deployed AI Systems in Health Care

Keyes, T., Callahan, A., Pandya, A. S., Ambers, N., Banda, J. M., Fuentes, M., Lugtu, C., Masariya, P., Nallan, S., O'Brien, C., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 3