Publications

Cheng S, Wei Y, Zhou Y, Xu Z, Wright DN, Liu J, Peng Y.  2025.  Deciphering genomic codes using advanced natural language processing techniques: a scoping review.. J Am Med Inform Assoc.

Teran F, Owyang CG, Wray TC, Hipskind JE, Lessard J, Michel WBédard, Lanthier C, Nazerian P, de Villa E, Nogueira J et al..  2025.  Development and Implementation of a Multicenter Registry for Resuscitation-Focused Transesophageal Echocardiography.. Ann Emerg Med. 85(2):147-162.

Morris JX, Campion TR, Nutheti SLaasya, Peng Y, Raj A, Zabih R, Cole CL.  2025.  DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization.. AMIA Jt Summits Transl Sci Proc. 2025:355-364.

Lin M, Wang S, Ding Y, Zhao L, Wang F, Peng Y.  2025.  An empirical study of using radiology reports and images to improve intensive care unit mortality prediction.. JAMIA Open. 8(1):ooae137.

Wei Y, Wang X, Ong H, Zhou Y, Flanders A, Shih G, Peng Y.  2025.  Enhancing Disease Detection in Radiology Reports Through Fine-tuning Lightweight LLM on Weak Labels.. AMIA Jt Summits Transl Sci Proc. 2025:614-623.

Idnay B, Xu Z, Adams WG, Adibuzzaman M, Anderson NR, Bahroos N, Bell DS, Bumgardner C, Campion T, Castro M et al..  2025.  Environment scan of generative AI infrastructure for clinical and translational science.. Npj Health Syst. 2(1):4.

Flanders AE, Wang X, Wu CC, Kitamura FC, Shih G, Mongan J, Peng Y.  2025.  The Evolution of Radiology Image Annotation in the Era of Large Language Models.. Radiol Artif Intell. 7(4):e240631.

Peng Y, Malin BA, Rousseau JF, Wang Y, Xu Z, Xu X, Weng C, Bian J.  2025.  From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare.. J Biomed Inform. 163:104791.

Sun C, Teichman K, Zhou Y, Critelli B, Nauheim D, Keir G, Wang X, Zhong J, Flanders AE, Shih G et al..  2025.  Generative Large Language Models Trained for Detecting Errors in Radiology Reports.. Radiology. 315(2):e242575.

Zhang G, Xu Z, Jin Q, Chen F, Fang Y, Liu Y, Rousseau JF, Xu Z, Lu Z, Weng C et al..  2025.  Leveraging long context in retrieval augmented language models for medical question answering.. NPJ Digit Med. 8(1):239.

Zhang Y, Wei Y, Wang Y, Xiao Y, Poropatich CRet Ronald, Haas GL, Zhang Y, Weng C, Liu J, Brenner LA et al..  2025.  Machine learning applications related to suicide in military and Veterans: A scoping literature review.. J Biomed Inform. 167:104848.

Chen J, Su L, Li Y, Lin M, Peng Y, Sun C.  2025.  A multimodal approach for few-shot biomedical named entity recognition in low-resource languages.. J Biomed Inform. 161:104754.

Consoli B, Wang H, Wu X, Wang S, Zhao X, Wang Y, Rousseau J, Hartvigsen T, Shen L, Wu H et al..  2025.  SDoH-GPT: using large language models to extract social determinants of health.. J Am Med Inform Assoc.

Chen F, Zhang G, Fang Y, Peng Y, Weng C.  2025.  Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.. J Am Med Inform Assoc. 32(3):555-565.

Xu RLi, Wang S, Wang Z, Zhang Y, Xiao Y, Pathak J, Hodge D, Leng Y, S Watkins C, Ding Y et al..  2024.  Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups.. Proc (IEEE Int Conf Healthc Inform). 2024:189-199.

Zhang G, Jin Q, Zhou Y, Wang S, Idnay B, Luo Y, Park E, Nestor JG, Spotnitz ME, Soroush A et al..  2024.  Closing the gap between open source and commercial large language models for medical evidence summarization.. NPJ Digit Med. 7(1):239.

Xiao Y, Bi K, Yip PSiu-Fai, Cerel J, Brown TT, Peng Y, Pathak J, J Mann J.  2024.  Decoding Suicide Decedent Profiles and Signs of Suicidal Intent Using Latent Class Analysis.. JAMA Psychiatry. 81(6):595-605.

Wei Y, Deng Y, Sun C, Lin M, Jiang H, Peng Y.  2024.  Deep learning with noisy labels in medical prediction problems: a scoping review.. J Am Med Inform Assoc. 31(7):1596-1607.

Su L, Chen J, Peng Y, Sun C.  2024.  Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension.. J Biomed Inform. 159:104739.

Zhou Y, Ong H, Kennedy P, Wu CC, Kazam J, Hentel K, Flanders A, Shih G, Peng Y.  2024.  Evaluating GPT-V4 (GPT-4 with Vision) on Detection of Radiologic Findings on Chest Radiographs.. Radiology. 311(2):e233270.

Tam TYu Chow, Sivarajkumar S, Kapoor S, Stolyar AV, Polanska K, McCarthy KR, Osterhoudt H, Wu X, Visweswaran S, Fu S et al..  2024.  A framework for human evaluation of large language models in healthcare derived from literature review.. NPJ Digit Med. 7(1):258.

Holste G, Lin M, Zhou R, Wang F, Liu L, Yan Q, Van Tassel SH, Kovacs K, Chew EY, Lu Z et al..  2024.  Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.. NPJ Digit Med. 7(1):216.

Jin Q, Chen F, Zhou Y, Xu Z, Cheung JM, Chen R, Summers RM, Rousseau JF, Ni P, Landsman MJ et al..  2024.  Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.. NPJ Digit Med. 7(1):190.

Lin M, Li T, Sun Z, Holste G, Ding Y, Wang F, Shih G, Peng Y.  2024.  Improving Fairness of Automated Chest Radiograph Diagnosis by Contrastive Learning.. Radiol Artif Intell. 6(5):e230342.

Lu Z, Peng Y, Cohen T, Ghassemi M, Weng C, Tian S.  2024.  Large language models in biomedicine and health: current research landscape and future directions.. J Am Med Inform Assoc. 31(9):1801-1811.