Liu, Nan
National University of Singapore · Duke University · SingHealth Duke-NUS Academic Medical Centre · Duke-NUS Medical School
17 papers on CoChatORCID 0000-0003-3610-4883
Most cited papers
- Verified
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Moons, K. G. M., Damen, J. A. A., Kaul, T., Hooft, L., Andaur Navarro, C., Dhiman, P., Beam, A. L., Van Calster, B., Celi, L. A., Denaxas, S., et al. (2025) · BMJ
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 1,069
- Verified
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
Li, Y., Chen, C., Liu, N., Huang, H., Zheng, Z., & Yan, Q. (2021) · IEEE Network
Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security
Cited by 645
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Large language models in health care: Development, applications, and challenges
Yang, R., Tan, T. F., Lu, W., Thirunavukarasu, A. J., Ting, D. S. W., & Liu, N. (2023) · Health Care Science
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 366
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Ethical and regulatory challenges of large language models in medicine
Ong, J. C. L., Chang, S. Y.-H., William, W., Butte, A. J., Shah, N. H., Chew, L. S. T., Liu, N., Doshi-Velez, F., Lu, W., Savulescu, J., et al. (2024) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 342
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Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Teo, Z. L., Jin, L., Liu, N., Li, S., Miao, D., Zhang, X., Ng, W. Y., Tan, T. F., Lee, D. M., Chua, K. J., et al. (2024) · Cell Reports Medicine
Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education
Cited by 255
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Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist
Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2024) · The Lancet Digital Health
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 212
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Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
Ke, Y. H., Jin, L., Elangovan, K., Abdullah, H. R., Liu, N., Sia, A. T. H., Soh, C. R., Tung, J. Y. M., Ong, J. C. L., Kuo, C.-F., et al. (2025) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 151
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Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission
Chiew, C. J., Liu, N., Wong, T. H., Sim, Y. E., & Abdullah, H. R. (2020) · Annals of Surgery
Cardiac, Anesthesia and Surgical OutcomesMachine Learning in Healthcare
Cited by 151
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Steps to avoid overuse and misuse of machine learning in clinical research
Volovici, V., Syn, N. L., Ercole, A., Zhao, J. J., & Liu, N. (2022) · Nature Medicine
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 110
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Predicting hospital admission at the emergency department triage: A novel prediction model
Parker, C. A., Liu, N., Wu, S. X., Shen, Y., Lam, S. S. W., & Ong, M. E. H. (2019) · The American Journal of Emergency Medicine
Emergency and Acute Care StudiesHealthcare Operations and Scheduling Optimization
Cited by 100
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A translational perspective towards clinical AI fairness
Liu, M., Ning, Y., Teixayavong, S., Mertens, M., Xu, J., Ting, D. S. W., Cheng, L. T.-E., Ong, J. C. L., Teo, Z. L., Tan, T. F., et al. (2023) · npj Digital Medicine
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 82
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AI-induced never-skilling in medical education
Ke, Y., Jin, L., Ong, J. C. L., Thirunavukarasu, A. J., Car, J., Cheung, C. Y., Tham, Y. C., Ting, D. S. W., Ong, M. E. H., Compton, S., et al. (2026) · Nature Medicine
Artificial Intelligence in Healthcare and EducationInnovations in Medical Education
Cited by 71
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A scoping review on generative AI and large language models in mitigating medication related harm
Ong, J. C. L., Chen, M. H., Ng, N., Elangovan, K., Tan, N. Y. T., Jin, L., Xie, Q., Ting, D. S. W., Rodriguez-Monguio, R., Bates, D. W., et al. (2025) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationPharmacovigilance and Adverse Drug Reactions
Cited by 64
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Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models: simulation study
Ke, Y., Yang, R., Lie, S. A., Lim, T. X. Y., Ning, Y., Li, I., Abdullah, H. R., Ting, D. S. W., & Liu, N. (2024) · Journal of Medical Internet Research
Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills
Cited by 64
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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
- Verified
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 9
- Verified
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4
Tan, T. F., Elangovan, K., Jin, L., Jie, Y., Yong, L., Lim, J., Poh, S., Ng, W. Y., Lim, D., Ke, Y., et al. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 7
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