胡丹青，博士，南京信息工程大学未来技术学院讲师，智能医学图像计算江苏高校重点实验室及智慧医疗研究院成员。2014年本科毕业于山东大学，2017年和2022年先后在浙江大学研究生毕业并取得硕士和博士学位。研究方向为医学人工智能、医学信息学、肺癌全流程决策支持等。目前主持国家自然科学青年基金，参与北京市自然科学基金海淀原始创新重点项目、“十三五”国家重点研究专项精准医学研究项目以及国家自然科学基金面上项目等。在IEEE JBHI、AIM、IJMI、IEEE EMBC等医学信息重要期刊会议发表论文17篇，第一作者14篇，申请发明专利11项，第一发明人授权4项，授权软件著作权4项，获中国中文信息学会CHIP2018最佳论文奖，长期担任领域重要期刊IEEE JBHI、AIM、JMIR、CMPB、ESWA、IJMI、JBI审稿人。

更多信息欢迎访问我的个人主页：https://faculty.nuist.edu.cn/hudanqing/zh_CN/index.htm

研究方向：

医学人工智能，医学信息学，肺癌早期筛查、淋巴结转移精准诊断，肺癌预后预测，基于循证医学证据的治疗方案推荐，医学自然语言处理，多学科会诊临床决策支持系统研发等。

代表性论文（一作或通讯）：

[1]Danqing Hu, Shaolei Li, Nan Wu, Xudong Lu. A Multi-Modal Heterogeneous Graph Forest to Predict Lymph Node Metastasis of Non-Small Cell Lung Cancer. IEEE Journal of Biomedical and Health Informatics, 2023, 27(3): 1216-24.

[2]Danqing Hu, Shaolei Li, Zhengxing Huang, Nan Wu, Xudong Lu. Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization. Artificial Intelligence in Medicine, 2020, 107: 101921.

[3]Danqing Hu#, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu. Zero-shot information extraction from radiological reports using ChatGPT. International Journal of Medical Informatics, 2024, 183: 105321.

[4]Danqing Hu, Huanyao Zhang, Shaolei Li, Huilong Duan, Nan Wu, Xudong Lu. An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients. BMC Medical Informatics and Decision Making, 2022, 22(1): 245.

[5]Danqing Hu, Wei Dong, Xudong Lu, Huilong Duan, Kunlun He, Zhengxing Huang. Evidential MACE prediction of acute coronary syndrome using electronic health records. BMC Medical Informatics and Decision Making, 2019, 19(2): 61.

[6]Danqing Hu, Shaolei Li, Huanyao Zhang, Nan Wu, Xudong Lu. Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non–Small Cell Lung Cancer with Electronic Medical Records: Development and Validation Study. JMIR Med Inform, 2022, 10(4): e35475.

[7]Danqing Hu, Huanyao Zhang, Shaolei Li, Yuhong Wang, Nan Wu, Xudong Lu. Automatic Extraction of Lung Cancer Staging Information from Computed Tomography Reports: Deep Learning Approach. JMIR Med Inform, 2021, 9(7): e27955-e.

[8]Danqing Hu, Zhengxing Huang, Tak-Ming Chan, Wei Dong, Xudong Lu, Huilong Duan. Acute coronary syndrome risk prediction based on GRACE risk score; Stud Health Technol Inform, 2018, 245: 398.

[9]Danqing Hu#, Bing Liu, Xiang Li, Hui Chen, Rui Guo, Lechao Cheng, Xudong Lu, Nan Wu. A Hierarchy-driven Multi-label Network with Label Constraints for Post-operative Complication Prediction of Lung Cancer; proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, F, 2023. IEEE.

[10]Danqing Hu#, Bing Liu, Lechao Cheng, Rui Guo, Jin Wang, Xudong Lu, Nan Wu. A Deep Multi-Task Network to Learn Tumor Pathological Representations for Lymph Node Metastasis Prediction. Stud Health Technol Inform, 2024, 310: 906-10.

[11]Danqing Hu#, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu. Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach; proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Orlando, United States, 2024. IEEE.

[12]Danqing Hu#, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu. KAMLN: A Knowledge-aware Multi-label Network for Lung Cancer Complication Prediction; proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Orlando, United States, 2024. IEEE.

[13]Hui Su, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu, Danqing Hu#. TGMT: A Terminology-Guided Multi-Task Approach for Lung Cancer CT Report Generation; proceedings of the 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Orlando, United States, 2024. IEEE.