Chen, Shan

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

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Large language models to identify social determinants of health in electronic health records

Guevara, M., Chen, S., Thomas, S., Chaunzwa, T. L., Franco, I., Kann, B. H., Moningi, S., Qian, J. M., Goldstein, M., Harper, S., et al. (2024) · npj Digital Medicine

Machine Learning in HealthcareTopic Modeling

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Use of Artificial Intelligence Chatbots for Cancer Treatment Information

Chen, S., Kann, B. H., Foote, M. B., Aerts, H. J. W. L., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JAMA Oncology

Artificial Intelligence in Healthcare and EducationClinical practice guidelines implementation

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The effect of using a large language model to respond to patient messages

Chen, S., Guevara, M., Moningi, S., Hoebers, F., Elhalawani, H., Kann, B. H., Chipidza, F. E., Leeman, J., Aerts, H. J. W. L., Miller, T., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

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Evaluating the ChatGPT family of models for biomedical reasoning and classification

Chen, S., Li, Y., Lu, S., Van, H., Aerts, H. J. W. L., Savova, G. K., & Bitterman, D. S. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

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Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification

Chen, S., Li, Y., Lu, S., Van, H., Aerts, H. J., Savova, G. K., & Bitterman, D. S. (2023) · arXiv

Topic ModelingBiomedical Text Mining and Ontologies

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Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy

Chen, S., Guevara, M., Ramirez, N., Murray, A., Warner, J. L., Aerts, H. J. W. L., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

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Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Gallifant, J., Chen, S., Moreira, P. J. F., Munch, N., Gao, M., Pond, J., Celi, L. A., Aerts, H., Hartvigsen, T., & Bitterman, D. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingArtificial Intelligence in Healthcare and Education

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Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Gallifant, J., Chen, S., Moreira, P., Munch, N., Gao, M., Pond, J., Celi, L. A., Aerts, H., Hartvigsen, T., & Bitterman, D. (2024) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

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Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes

Derton, A., Guevara, M., Chen, S., Moningi, S., Kozono, D. E., Liu, D., Miller, T. A., Savova, G. K., Mak, R. H., & Bitterman, D. S. (2023) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareComputational and Text Analysis Methods

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MedBrowseComp: Benchmarking Medical Deep Research and Computer Use

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Artificial Intelligence in Healthcare and EducationInformation Retrieval and Search Behavior

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