Qingyu Chen, PhD

2026

• Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation

  Li A, Chen Y, Long W, Yin Y, Hu Y, Kim H, Zhou W, Zhou Y, Peng H, Ren Y, Ai X, Qin Z, Hu M, Li X, Yu H, Tham Y, Ohno-Machado L, Xu H, Chen Q. Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation. Npj Digital Medicine 2026 DOI: 10.1038/s41746-026-03064-9.

  Peer-Reviewed Original Research

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• CiteSure: retrieval-augmented large language models for faithful biomedical citation recommendation

  Xie Q, Zhang J, Wang Y, Huang J, Lin F, Weng R, Chen Q, Xu H. CiteSure: retrieval-augmented large language models for faithful biomedical citation recommendation. Journal Of The American Medical Informatics Association 2026, ocag122. PMID: 42551844, DOI: 10.1093/jamia/ocag122.

  Peer-Reviewed Original Research

• Opportunistic Cardiovascular Risk Assessment in the Eye Clinic: Validation of a Retinal Deep Learning-Based 10-Year ASCVD Estimator

  Nusinovici S, Kim H, Seo J, Rim T, Chen Q, Lu Z, Lee C, Tham Y, Nam D, Thakur S, Peng Q, Yu M, Lee G, Park S, Kim S, Wong T, De Silva W, Keenan T, Cheng C, Chew E. Opportunistic Cardiovascular Risk Assessment in the Eye Clinic: Validation of a Retinal Deep Learning-Based 10-Year ASCVD Estimator. Ophthalmology Science 2026, 101386. DOI: 10.1016/j.xops.2026.101386.

  Peer-Reviewed Original Research

• Tutorial: guidance on the use of large language models for medical research

  Jin Q, Wan N, Leaman R, Tian S, Wang Z, Yang Y, Wang Z, Xiong G, Lai P, Zhu Q, Hou B, Sarfo-Gyamfi M, Zhang G, Gilson A, Bhasuran B, He Z, Zhang A, Sun J, Weng C, Summers R, Chen Q, Peng Y, Lu Z. Tutorial: guidance on the use of large language models for medical research. Nature Protocols 2026, 1-12. PMID: 42498804, PMCID: PMC13454964, DOI: 10.1038/s41596-026-01408-z.

  Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements

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• Reticular Pseudodrusen and Cardiovascular Disease or Related Mortality in AREDS and AREDS2.

  Elnahry A, Agrón E, Cukras C, Prasad M, Vitale S, Chen Q, Lu Z, Keenan T, Chew E. Reticular Pseudodrusen and Cardiovascular Disease or Related Mortality in AREDS and AREDS2. JAMA Ophthalmology 2026, 144: 655-657. PMID: 42166147, PMCID: PMC13195498, DOI: 10.1001/jamaophthalmol.2026.1525.

  Peer-Reviewed Original Research

  Citations

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• Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning

  Gao F, Tong S, Sohn J, Huang J, Jiang J, Xia D, Ittichaiwong P, Veerakanjana K, Kim H, Chen Q, Taylor E, Kobayashi K, Aizawa A, Li I. Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning. Proceedings Of The Conference Association For Computational Linguistics Meeting 2026, 2026: 24868-24888. PMID: 42712820, PMCID: PMC13551357, DOI: 10.18653/v1/2026.acl-long.1140.

  Peer-Reviewed Original Research

  Citations

• LMOD \(\boldsymbol{+}\) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology

  Qin Z, Liu Y, Yin Y, Ding J, Zhang H, Li A, Campbell D, Wu X, Zou K, Keenan T, Chew E, Lu Z, Tham Y, Liu N, Zhang X, Chen Q. LMOD \(\boldsymbol{+}\) : A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology. ACM Transactions On Computing For Healthcare 2026, 7: 1-38. PMID: 42434330, PMCID: PMC13353522, DOI: 10.1145/3801746.

  Peer-Reviewed Original Research

  Citations

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• Memorization in large language models in medicine prevalence characteristics and implications

  Li A, Qian L, Du M, Yin Y, Hu Y, Sun Z, Fu Y, Kim H, Stutz E, Ai X, Xie Q, Zhu R, Huang J, Yang Y, Liu S, Tham Y, Ohno-Machado L, Cho H, Lu Z, Xu H, Chen Q. Memorization in large language models in medicine prevalence characteristics and implications. Nature Communications 2026, 17: 7729. PMID: 42315854, PMCID: PMC13434820, DOI: 10.1038/s41467-026-73779-6.

  Peer-Reviewed Original Research

  This study systematically examined what large language models memorize when adapted for medicine, how frequently memorization occurs, how much content is retained, and how it may affect downstream medical applications.

  Full Summary

• ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds

  Fu Y, He L, Chen Q. ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds. 2026, 00: 6801-6805. DOI: 10.1109/icassp55912.2026.11463770.

  Peer-Reviewed Original Research

  Citations

• Context for Large Language Model Evaluation in Ophthalmology—Reply

  Srinivasan S, Chen Q, Tham Y. Context for Large Language Model Evaluation in Ophthalmology—Reply. JAMA Ophthalmology 2026, 144: 288-288. PMID: 41569551, DOI: 10.1001/jamaophthalmol.2025.5847.

  Commentaries, Editorials and Letters