Wang, Yanshan

A framework for human evaluation of large language models in healthcare derived from literature review.

Tam, T. Y. C., Sivarajkumar, S., Kapoor, S., Stolyar, A. V., Polanska, K., McCarthy, K. R., Osterhoudt, H., Wu, X., Visweswaran, S., Fu, S., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

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Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

Abbasian, M., Khatibi, E., Azimi, I., Oniani, D., Shakeri Hossein Abad, Z., Thieme, A., Sriram, R., Yang, Z., Wang, Y., Lin, B., et al. (2024) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

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Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare

Oniani, D., Hilsman, J., Peng, Y., Poropatich, R. K., Pamplin, J. C., Legault, G. L., & Wang, Y. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 143

MedSTS: a resource for clinical semantic textual similarity

Wang, Y., Afzal, N., Fu, S., Wang, L., Shen, F., Rastegar-Mojarad, M., & Liu, H. (2020) · Language Resources and Evaluation

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 124

Distilling large language models for matching patients to clinical trials

Nievas, M., Basu, A., Wang, Y., & Singh, H. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 67

PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models

Gupta, S., Basu, A., Nievas, M., Thomas, J., Wolfrath, N., Ramamurthi, A., Taylor, B., Kothari, A. N., Schwind, R., Miller, T. M., et al. (2024) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 52

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

Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

Shen, F., Liu, S., Fu, S., Wang, Y., Henry, S., Uzuner, O., & Liu, H. (2021) · JMIR Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 21

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

Assertion detection in clinical natural language processing using large language models

Ji, Y., Yu, Z., & Wang, Y. (2024) · 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 14

Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis

Carlson, L. A., Jeffery, M. M., Fu, S., He, H., McCoy, R. G., Wang, Y., Hooten, W. M., St Sauver, J., Liu, H., & Fan, J. (2020) · JMIR Medical Informatics

Biomedical Text Mining and OntologiesMedical Coding and Health Information

Cited by 11

Selected articles from the BioCreative/OHNLP challenge 2018

Liu, S., Wang, Y., & Liu, H. (2019) · BMC Medical Informatics and Decision Making

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 10

The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit

Harris, D. R., Fu, S., Wen, A., Corbeau, A., Henderson, D., Hilsman, J., Oniani, D., & Wang, Y. (2024) · Journal of Clinical and Translational Science

Biomedical Text Mining and OntologiesHomelessness and Social Issues

Cited by 6

Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care

Wu, X., Garduno-Rapp, N. E., Rousseau, J. F., Thakkallapally, M., Zhang, H., Ji, Y., Visweswaran, S., Peng, Y., & Wang, Y. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1