Wornow, Michael

A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2024) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 738

Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review

Bedi, S., Liu, Y., Orr-Ewing, L., Dash, D., Koyejo, S., Callahan, A., Fries, J. A., Wornow, M., Swaminathan, A., Lehmann, L. S., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 662

The shaky foundations of large language models and foundation models for electronic health records

Wornow, M., Xu, Y., Thapa, R., Patel, B., Steinberg, E., Fleming, S., Pfeffer, M. A., Fries, J., & Shah, N. H. (2023) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 324

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Nguyen, E., Poli, M., Faizi, M., Thomas, A., Birch-Sykes, C., Wornow, M., Patel, A., Rabideau, C., Massaroli, S., Bengio, Y., et al. (2023) · arXiv

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 168

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

Nguyen, E., Poli, M., Faizi, M., Thomas, A., Wornow, M., Birch-Sykes, C., Massaroli, S., Patel, A., Rabideau, C., Bengio, Y., et al. (2023) · Advances in Neural Information Processing Systems 36

Genomics and Phylogenetic StudiesGenomic variations and chromosomal abnormalities

Cited by 66

Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems

Callahan, A., McElfresh, D., Banda, J. M., Bunney, G., Char, D., Chen, J., Corbin, C. K., Dash, D., Downing, N. L., Jain, S. S., et al. (2024) · NEJM Catalyst

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 61

Zero-Shot Clinical Trial Patient Matching with LLMs

Wornow, M., Lozano, A., Dash, D., Jindal, J., Mahaffey, K. W., & Shah, N. H. (2025) · NEJM AI

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

Zero-Shot Clinical Trial Patient Matching with LLMs

Wornow, M., Lozano, A., Dash, D., Jindal, J., Mahaffey, K. W., & Shah, N. H. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 59

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

APLUS: A Python library for usefulness simulations of machine learning models in healthcare

Wornow, M., Gyang Ross, E., Callahan, A., & Shah, N. H. (2023) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 26

Automating the Enterprise with Foundation Models

Wornow, M., Narayan, A., Opsahl-Ong, K., McIntyre, Q., Shah, N. H., & Re, C. (2024) · arXiv

Robotic Process Automation ApplicationsBusiness Process Modeling and Analysis

Cited by 15

Automating the Enterprise with Foundation Models

Wornow, M., Narayan, A., Opsahl-Ong, K., McIntyre, Q., Shah, N., & Ré, C. (2024) · Proceedings of the VLDB Endowment

Robotic Process Automation ApplicationsBusiness Process Modeling and Analysis

Cited by 15