Lu, Zhiyong

Text mining genotype-phenotype relationships from biomedical literature for database curation and precision medicine

Singhal, A., Simmons, M., & Lu, Z. (2016) · PLoS Computational Biology

Biomedical Text Mining and OntologiesAdvanced Text Analysis Techniques

Cited by 96

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation

Yang, Y., Liu, X., Jin, Q., Huang, F., & Lu, Z. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 94

Large language models in biomedicine and health: current research landscape and future directions

Lu, Z., Peng, Y., Cohen, T., Ghassemi, M., Weng, C., & Tian, S. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 92

MeSH Now: Automatic MeSH indexing at PubMed scale via learning to rank

Mao, Y., & Lu, Z. (2017) · Journal of Biomedical Semantics

Biomedical Text Mining and OntologiesAdvanced Text Analysis Techniques

Cited by 87

A scoping review on multimodal deep learning in biomedical images and texts

Sun, Z., Lin, M., Zhu, Q., Xie, Q., Wang, F., Lu, Z., & Peng, Y. (2023) · Journal of Biomedical Informatics

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 69

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Chen, Q., Lee, K., Yan, S., Kim, S., Wei, C.-H., & Lu, Z. (2020) · PLOS Computational Biology

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 62

LitSuggest: a web-based system for literature recommendation and curation using machine learning

Allot, A., Lee, K., Chen, Q., Luo, L., & Lu, Z. (2021) · Nucleic Acids Research

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 61

Pressing needs of biomedical text mining in biocuration and beyond: opportunities and challenges

Singhal, A., Leaman, R., Catlett, N., Lemberger, T., McEntyre, J., Polson, S., Xenarios, I., Arighi, C., & Lu, Z. (2016) · Database

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 48

Scaling up data curation using deep learning: An application to literature triage in genomic variation resources

Lee, K., Famiglietti, M. L., McMahon, A., Wei, C.-H., MacArthur, J. A. L., Poux, S., Breuza, L., Bridge, A., Cunningham, F., Xenarios, I., et al. (2018) · PLOS Computational Biology

Biomedical Text Mining and OntologiesInformation Retrieval and Search Behavior

Cited by 47

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

Zhang, G., Jin, Q., Jered McInerney, D., Chen, Y., Wang, F., Cole, C. L., Yang, Q., Wang, Y., Malin, B. A., Peleg, M., et al. (2024) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 40

Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports

Zhu, Q., Mathai, T. S., Mukherjee, P., Peng, Y., Summers, R. M., & Lu, Z. (2023) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 36

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Chen, Q., Du, J., Kim, S., Wilbur, W. J., & Lu, Z. (2020) · BMC Medical Informatics and Decision Making

Topic ModelingMachine Learning in Healthcare

Cited by 19

Improving accuracy for identifying related PubMed queries by an integrated approach

Lu, Z., & Wilbur, W. J. (2009) · Journal of Biomedical Informatics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 18

Biomedical Mention Disambiguation using a Deep Learning Approach

Wei, C.-H., Lee, K., Leaman, R., & Lu, Z. (2019) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 17

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Yang, R., Zeng, Q., You, K., Qiao, Y., Huang, L., Hsieh, C.-C., Rosand, B., Goldwasser, J., Dave, A., Keenan, T., et al. (2024) · Journal of Medical Internet Research

Topic ModelingNatural Language Processing Techniques

Cited by 16

Using deep learning to identify translational research in genomic medicine beyond bench to bedside

Hsu, Y.-Y., Clyne, M., Wei, C.-H., Khoury, M. J., & Lu, Z. (2019) · Database

Biomedical Text Mining and OntologiesText and Document Classification Technologies

Cited by 6

A Curated Dataset for Question Answering on Laboratory Test Reference Ranges and Interpretation

Bhasuran, B., Jin, Q., Deville, A., Wu, Y., Hanna, K., Lu, Z., & He, Z. (2026) · Scientific Data

Artificial Intelligence in Healthcare and EducationClinical Laboratory Practices and Quality Control

Cited by 0