Zhang, Rui

Benchmarking large language models for biomedical natural language processing applications and recommendations

Chen, Q., Hu, Y., Peng, X., Xie, Q., Jin, Q., Gilson, A., Singer, M. B., Ai, X., Lai, P.-T., Wang, Z., et al. (2025) · Nature Communications

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 219

CancerBERT: A cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records

Zhou, S., Wang, N., Wang, L., Liu, H., & Zhang, R. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 119

Advancing Alzheimer’s research: a review of big data promises

Zhang, R., Simon, G., & Yu, F. (2017) · International Journal of Medical Informatics

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 77

Selective annotation makes language models better few-shot learners

Su, H., Kasai, J., Wu, C. H., Shi, W., Wang, T., Xin, J., Zhang, R., Ostendorf, M., Zettlemoyer, L., Smith, N. A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 70

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

Zhang, Y., Ni, A., Mao, Z., Wu, C. H., Zhu, C., Deb, B., Awadallah, A., Radev, D., & Zhang, R. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 44

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

Alzheimer's disease and related dementias among aging veterans: Examining gene‐by‐environment interactions with post‐traumatic stress disorder and traumatic brain injury

Logue, M. W., Miller, M. W., Sherva, R., Zhang, R., Harrington, K. M., Fonda, J. R., Merritt, V. C., Panizzon, M. S., Hauger, R. L., Wolf, E. J., et al. (2023) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 35

Automating expert-level medical reasoning evaluation of large language models

Zhou, S., Xie, W., Li, J., Zhan, Z., Song, M., Yang, H., Espinoza, C., Welton, L., Mai, X., Jin, Y., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30

Uncertainty-aware large language models for explainable disease diagnosis

Zhou, S., Wang, J., Xu, Z., Wang, S., Brauer, D., Welton, L., Cogan, J., Chung, Y.-H., Tian, L., Zhan, Z., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 27

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Keloth, V. K., Banda, J. M., Gurley, M., Heider, P. M., Kennedy, G., Liu, H., Liu, F., Miller, T., Natarajan, K., V Patterson, O., et al. (2023) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 16