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| Xie Q, Schenck EJ, Yang HS, et al. (2023) Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond. Research Square |
| Tang L, Sun Z, Idnay B, et al. (2023) Evaluating large language models on medical evidence summarization. Npj Digital Medicine. 6: 158 |
| Tang L, Sun Z, Idnay B, et al. (2023) Evaluating Large Language Models on Medical Evidence Summarization. Medrxiv : the Preprint Server For Health Sciences |
| Wang S, Lin M, Ding Y, et al. (2022) Radiology Text Analysis System (RadText): Architecture and Evaluation. Ieee International Conference On Healthcare Informatics. Ieee International Conference On Healthcare Informatics. 2022: 288-296 |
| Chen Q, Rankine A, Peng Y, et al. (2021) Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study. Jmir Medical Informatics. 9: e27386 |
| Islamaj R, Leaman R, Kim S, et al. (2021) NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Scientific Data. 8: 91 |
| Du J, Chen Q, Peng Y, et al. (2019) ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal of the American Medical Informatics Association : Jamia |
| Peng Y, Rios A, Kavuluru R, et al. (2018) Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database : the Journal of Biological Databases and Curation. 2018 |
| Allot A, Peng Y, Wei CH, et al. (2018) LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. Nucleic Acids Research |
| Ching T, Himmelstein DS, Beaulieu-Jones BK, et al. (2018) Opportunities and obstacles for deep learning in biology and medicine. Journal of the Royal Society, Interface. 15 |