Publications

Wang Z, Cao L, Jin Q, Chan J, Wan N, Afzali B, Cho H-J, Choi C-I, Emamverdi M, Gill MK et al..  2025.  A foundation model for human-AI collaboration in medical literature mining.. Nat Commun. 16(1):8361.

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.

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.

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.

Wang S, Wei Y, Ma H, Lovitt M, Deng K, Meng Y, Xu Z, Zhang J, Xiao Y, Ding Y et al..  2025.  A multi-stage large language model framework for extracting suicide-related social determinants of health.. Commun Med (Lond). 5(1):404.

Liang Y, Zhang G, Sun E, Idnay B, Fang Y, Chen F, Ta C, Peng Y, Weng C.  2025.  Scalable scientific interest profiling using large language models.. J Biomed Inform. 172:104949.

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.