Liu, Siru

Ethical Considerations of Using ChatGPT in Health Care

Wang, C., Liu, S., Yang, H., Guo, J., Wu, Y., & Liu, J. (2023) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 541

Utility of ChatGPT in Clinical Practice

Liu, J., Wang, C., & Liu, S. (2023) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 505

Using AI-generated suggestions from ChatGPT to optimize clinical decision support

Liu, S., Wright, A. P., Patterson, B. L., Wanderer, J. P., Turer, R. W., Nelson, S. D., McCoy, A. B., Sittig, D. F., & Wright, A. (2023) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 397

Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines

Liu, S., McCoy, A. B., & Wright, A. (2025) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 200

The application of Chat Generative Pre-trained Transformer in nursing education

Liu, J., Liu, F., Fang, J., & Liu, S. (2023) · Nursing Outlook

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Education

Cited by 103

The management of coronavirus disease 2019 (COVID‐19)

Liu, J., & Liu, S. (2020) · Journal of Medical Virology

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 102

Assessing the Value of ChatGPT for Clinical Decision Support Optimization

Liu, S., Wright, A. P., Patterson, B. L., Wanderer, J. P., Turer, R. W., Nelson, S. D., McCoy, A. B., Sittig, D. F., & Wright, A. (2023) · medRxiv

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 90

Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis

Wu, Y., Wu, M., Wang, C., Lin, J., Liu, J., & Liu, S. (2024) · JMIR Medical Informatics

Electronic Health Records SystemsHealthcare professionals’ stress and burnout

Cited by 87

Prompt Engineering in Clinical Practice: Tutorial for Clinicians

Liu, J., Liu, F., Wang, C., & Liu, S. (2025) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 76

Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation

Liu, S., Wright, A. P., McCoy, A. B., Huang, S. S., Steitz, B., & Wright, A. (2025) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 44

Leveraging Large Language Models for Generating Responses to Patient Messages

Liu, S., McCoy, A. B., Wright, A. P., Carew, B., Genkins, J. Z., Huang, S. S., Peterson, J. F., Steitz, B., & Wright, A. (2023) · medRxiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 43

Physicians’ Perspectives of Telemedicine During the COVID-19 Pandemic in China: Qualitative Survey Study

Liu, J., Liu, S., Zheng, T., & Bi, Y. (2021) · JMIR Medical Informatics

Telemedicine and Telehealth ImplementationDental Research and COVID-19

Cited by 38