TreatQuest®: A Patient-Oriented Evidence-Based Treatment Decision Support System for Lung Cancer. - Danqing Hu; Hemant K. Jain (AMIA, 2013)

Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score. - Danqing Hu; Zhengxing Huang; Tak-Ming Chan; Wei Dong 005; Xudong Lu; Huilong Duan (MedInfo, 2017)

Evidential MACE prediction of acute coronary syndrome using electronic health records. - Danqing Hu; Wei Dong 005; Xudong Lu; Huilong Duan; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization. - Danqing Hu; Shaolei Li; Zhengxing Huang; Nan Wu; Xudong Lu (Artif. Intell. Medicine, 2020)

A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging. - Huanyao Zhang; Danqing Hu; Huilong Duan; Shaolei Li; Nan Wu; Xudong Lu (BMC Medical Informatics Decis. Mak., 2021)

Automatic SNOMED CT coding of Chinese clinical terms via attention-based semantic matching. - Yani Chen; Danqing Hu; Mengyang Li; Huilong Duan; Xudong Lu (Int. J. Medical Informatics, 2022)

An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients. - Danqing Hu; Huanyao Zhang; Shaolei Li; Huilong Duan; Nan Wu; Xudong Lu (BMC Medical Informatics Decis. Mak., 2022)

A Hierarchy-driven Multi-label Network with Label Constraints for Post-operative Complication Prediction of Lung Cancer. - Danqing Hu; Bing Liu; Xiang Li; Hui Chen; Rui Guo; Lechao Cheng; Xudong Lu; Nan Wu (EMBC, 2023)

A Deep Multi-Task Network to Learn Tumor Pathological Representations for Lymph Node Metastasis Prediction. - Danqing Hu; Bing Liu; Lechao Cheng; Rui Guo; Jin Wang; Xudong Lu; Nan Wu (MedInfo, 2023)

A Multi-Modal Heterogeneous Graph Forest to Predict Lymph Node Metastasis of Non-Small Cell Lung Cancer. - Danqing Hu; Shaolei Li; Nan Wu; Xudong Lu (IEEE J. Biomed. Health Informatics, 2023)

Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach. - Danqing Hu; Bing Liu; Xiaofeng Zhu; Xudong Lu; Nan Wu (EMBC, 2024)

KAMLN: A Knowledge-aware Multi-label Network for Lung Cancer Complication Prediction. - Danqing Hu; Bing Liu; Xiaofeng Zhu; Xudong Lu; Nan Wu (EMBC, 2024)

TGMT: A Terminology-Guided Multi-Task Approach for Lung Cancer CT Report Generation. - Hui Su; Bing Liu; Xiaofeng Zhu; Xudong Lu; Nan Wu; Danqing Hu (EMBC, 2024)

The current status of large language models in summarizing radiology report impressions. - Danqing Hu; Shanyuan Zhang; Qing Liu; Xiaofeng Zhu; Bing Liu (CoRR, 2024)

The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer. - Danqing Hu; Bing Liu; Xiaofeng Zhu; Nan Wu (CoRR, 2024)

Predicting Lung Cancer Patient Prognosis with Large Language Models. - Danqing Hu; Bing Liu; Xiang Li; Xiaofeng Zhu; Nan Wu (CoRR, 2024)

Zero-shot information extraction from radiological reports using ChatGPT. - Danqing Hu; Bing Liu; Xiaofeng Zhu; Xudong Lu; Nan Wu (Int. J. Medical Informatics, 2024)