宋江典｜中国医科大学｜学者主页

2026

Optimal, Interpretable, and Personalized Immune Checkpoint Inhibitor Duration in Non‐Small Cell Lung Cancer: A Multicenter Real‐World Study

Siqi Wang, Jianhua Liu, Qiang Nie, Ruichuan Shi, Nan Xu, Qianqian He, Guanchao Ye, Jingyi Liu, Qiuyang Hou, 邓克学, Lu Wang, Taixue An, Anyi An, Xiujuan Qu, Jiangdian Song

MedComm

DOI

2026

Clinical attribute-based risk matrix for prognostication in immunotherapy-treated non-small cell lung cancer

Lu Wang, Nan Xu, Hairui Wang, Bosinan Chen, Qiuju Sheng, Jie Zhang, Zhaoshuo Liu, Taixue An, Guanchao Ye, Jianing Sun, Zhijian Zhang, Qiuyang Hou, Bin Liu, Song Chen, Li Yu, Jiangdian Song

Nature Communications

DOI

2026

CT-based Deep Learning Model for Automatic Segmentation and Early Predicting of Pyogenic Liver Abscess Caused by Extended-Spectrum β-lactamase-Producing Enterobacteriaceae: A Multicenter Retrospective Study (CLASS2401)

Zibo Gong, Hao Wang, Yi Guo, Tao Pan, Daxin Zhou, Peng Yao, Qiang Zhang, Yunan Wang, Zhiwei Han, Xupeng Yang, Ye Wang, Jihan Liu, Cheng Ye, Wangjiu Cidan, Jiangdian Song, Chuanzhuo Wang, Z Li, Zhihui Chang

Academic Radiology

DOI

2026

From ambient assistance to data-driven precision in AI-enabled Alzheimer’s care (2004–2025): a bibliometric perspective

Bingnan Du, Qi Li, Xueying Li, Xiaoxi Liu, Ke Rang Zhang, Yifan Gong, Jiangdian Song, Hui Ling Wu

The Gerontologist

DOI

2026

Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC

Jiangdian Song, Qiang Nie, Siqi Wang, Taixue An, Xiao Li, Yinlong Liu, Hairui Wang, Ruichuan Shi, Lu Wang, Meiyin Lin, Xuanda Pan, Xin Li, Qiuyang Hou, Nan Xu, Xiaoyu Guo, Yuqiang Mao, Bin Liu, Xiujuan Qu, Jian-Hua Liu, Wen-Zhao Zhong

PLOS Digital Health

DOI

2026

ASO Visual Abstract: A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings

Shimin Zhang, Qiuyang Hou, Mufei Ding, Yuming Zhu, Gang Dai, Zhao Lu, Zhuonan Liu, Bosinan Chen, Xiaoguang Li, Jingyi Liu, Kexue Deng, Xin Zhou, Jiangdian Song

Annals of Surgical Oncology

DOI

2026

Multimodal data-based graph convolutional networks for predicting outcomes in ovarian cancer receiving neoadjuvant chemotherapy

Shimin Zhang, Yinlong Liu, Zhuonan Liu, Xinyue Li, Guan Wang, Zhuo Yang, Yutong Liu, Meiyao Li, Jiarui Wang, Jiage Zhang, Bosinan Chen, Jiayi Liu, Yi Zhang, Jiangdian Song, Xin Zhou

npj Precision Oncology

DOI

2026

A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings

Shimin Zhang, Qiuyang Hou, Mufei Ding, Yuming Zhu, Gang Dai, Zhao Lu, Zhuonan Liu, Bosinan Chen, Xiaogeng Li, Jingyi Liu, Kexue Deng, Jiangdian Song, Xin Zhou

Annals of Surgical Oncology

DOI

2025

Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model

Nan Xu, Qianqian He, Lu Wang, Zhang Zhiwen, Qiuju Sheng, Shang Bing Gao, Shimin Zhang, Bosinan Chen, Jianing Sun, Zhijian Zhang, Jie Zhang, Jing Ling Qiu, Yunan Wang, Guanyu Liu, Enyu Li, Mingke Tian, Haotian Wang, Jiaping Yu, Yan Dong, Yan Dong, Gao Si, Song Chen, Fan Yang, Zhihui Chang, Yue Dong, Yue Dong, Lina Zhang, Jiangdian Song

npj Digital Medicine

DOI

2025

CT radiomic stratification signature to optimize clinical decisions for ovarian cancer patients receiving neoadjuvant chemotherapy and the underlying biological basis: a multicenter retrospective study

Shimin Zhang, Xinyue Li, Siyang Zhang, Meiyao Li, Jiarui Wang, Jiage Zhang, Yutong Liu, Zhuonan Liu, Guan Wang, Yi Zhang, Zhuo Ru Yang, Jiangdian Song, Xin Zhou

Journal of Translational Medicine

DOI

2025

Role of artificial intelligence in medical image analysis

Lu Wang, Shimin Zhang, Nan Xu, Qianqian He, Yuming Zhu, Zhihui Chang, Yanan Wu, Huihan Wang, Shouliang Qi, Lína Zhang, Yu Shi, Xiujuan Qu, Xin Zhou, Jiangdian Song

Chinese Medical Journal

DOI

2025

Prediction of neoadjuvant chemotherapy efficacy in patients with HER2-low breast cancer based on ultrasound radiomics

Qing Peng, Ziyao Ji, Nan Xu, Zixian Dong, Tian Zhang, Mufei Ding, Le Qu, Yimo Liu, Jun Hua Xie, Feng Jin, Bo Chen, Jiangdian Song, Ang Zheng

Cancer Imaging

DOI

2025

Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images

Yuqiang Mao, Nan Xu, Yanan Wu, Lu Wang, Hongtao Wang, Qianqian He, Tianqi Zhao, Shuangchun Ma, Meihong Zhou, Hongjie Jin, Dongmei Pei, Lina Zhang, Jiangdian Song

Cell Reports Medicine

DOI

2025

Artificial intelligence chatbot for lung nodule feature characterization and lung cancer probability estimation from chest CT images: a multi-center retrospective study

Lu Wang, Yuqiang Mao, Lin Zhang, Jiangdian Song

The Lancet Regional Health - Western Pacific

DOI

2024

基于多参数磁共振瘤周区域的影像组学模型在脑胶质瘤预后评估中的应用价值

侯秋阳，叶成坤，刘畅，邢江浩，葛亚琼，宋江典，邓克学

《安徽医科大学学报》

2024

Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy

Peng Gao, Qiong Xiao, Hui Juan Jennifer Tan, Jiangdian Song, Yu Fu, Jingao Xu, Junhua Zhao, Yuan Miao, Xiaoyan Li, Jing Yi, Yingying Feng, Zitong Wang, Yingjie Zhang, Enbo Yao, Tongjia Xu, Jipeng Mei, Hanyu Chen, Xue Jiang, Yuchong Yang, Zhengyang Wang, Xianchun Gao, Minwen Zheng, Liying Zhang, Min Jiang, Yuying Long, Lijie He, Jinghua Sun, Yanhong Deng, Bin Wang, Yan Zhao, Yi Ba, Guan Wang, Yong Zhang, Ting Deng, Dinggang G. Shen, Zhenning Wang

Cell Reports Medicine

DOI

2024

Suitability of GPT-4o as an evaluator of cardiopulmonary resuscitation skills examinations

Lu Wang, Yuqiang Mao, Lin Wang, Yujie Sun, Jiangdian Song, Yang Zhang

Resuscitation

DOI

2024

PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma

Jiangdian Song, Jie Zhang, Guichao Liu, Zhexu Guo, Hongxian Liao, Wenhui Feng, Wenxiang Lin, Lei Li, Yi Zhang, Yuxiang Yang, Bin Liu, Ruibang Luo, Hao Chen, Siyun Wang, Jianhua Liu

Insights into Imaging

DOI

2024

EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC

Nan Xu, Jiajun Wang, Gang Dai, Tao Lu, Shu Li, Kexue Deng, Jiangdian Song

Journal of Imaging Informatics in Medicine

DOI

2024

Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell lung cancer

Jiajun Wang, Gang Dai, Xiufang Ren, Ruichuan Shi, Ruibang Luo, Jianhua Liu, Kexue Deng, Jiangdian Song

iRadiology

DOI

2023

A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images

Lu Wang, He Zhou, Nan Xu, Yuchan Liu, Xiran Jiang, Shu Li, Chaolu Feng, Hainan Xu, Kexue Deng, Jiangdian Song

iScience

DOI

2022

Development and validation of a deep learning model for survival prognosis of transcatheter arterial chemoembolization in patients with intermediate-stage hepatocellular carcinoma

Hairui Wang, Yuchan Liu, Nan Xu, Yuanyuan Sun, Shihan Fu, Yunuo Wu, Chunhe Liu, Lei Cui, Zhaoyu Liu, Zhihui Chang, Shu Li, Kexue Deng, Jiangdian Song

European Journal of Radiology

DOI

2022

A deep learning-based system for survival benefit prediction of tyrosine kinase inhibitors and immune checkpoint inhibitors in stage IV non-small cell lung cancer patients: A multicenter, prognostic study

Kexue Deng, Lu Wang, Yuchan Liu, Xin Li, Qiuyang Hou, Mulan Cao, Nathan Norton Ng, Huan Wang, Huanhuan Chen, Kristen W. Yeom, Mingfang Zhao, Ning Wu, Peng Gao, Jingyun Shi, Zaiyi Liu, Weimin Li, Jie Tian, Jiangdian Song

EClinicalMedicine

DOI

2021

深度学习人工智能技术在医学影像辅助分析中的应用

蒋西然，蒋韬，孙嘉瑶，宋江典，姜文研，艾华，龙哲，苏娟，常世杰，于韬

《中国医疗设备》

2021

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation

Jiangdian Song, Shih-Cheng Huang, Brendan S. Kelly, Guanqun Liao, Jingyun Shi, Ning Wu, Weimin Li, Zaiyi Liu, Lei Cui, Matthew Lungre, Michael Eugene Moseley, Peng Gao, Jie Tian, Kristen W. Yeom

IEEE Journal of Biomedical and Health Informatics

DOI

2021

Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020

Lu Wang, Hairui Wang, Yingna Huang, Baihui Yan, Zhihui Chang, Zhaoyu Liu, Mingfang Zhao, Lei Cui, Jiangdian Song, Fan Li

European Journal of Radiology

DOI

2021

Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curve

Lu Wang, Nan Xu, Jiangdian Song

Insights into Imaging

DOI

2021

Deep learning predicts epidermal growth factor receptor mutation subtypes in lung adenocarcinoma

Jiangdian Song, Changwei Ding, Qin-Lai Huang, Ting Luo, Xiaoman Xu, Zongjian Chen, Shu Li

Medical Physics

DOI

2021

An Opportunity to Reduce Disparities in Lung Cancer Screening

Jiangdian Song, H. Henry Guo

JAMA Network Open

DOI

2020

基于双序列MRI的计算机辅助诊断鉴别软组织肿瘤良恶性的研究

姜文研，尚圣捷，王颖妮，王晓煜，宋江典，龙哲，于韬，罗娅红

《现代肿瘤医学》

2019

Radiomics for the prediction of EGFR mutation subtypes in non‐small cell lung cancer

Shu Li, Changwei Ding, Hao Zhang, Jiangdian Song, Lei Wu

Medical Physics

DOI

2018

A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy

Jiangdian Song, Jingyun Shi, Di Dong, Mengjie Fang, Wen‐Zhao Zhong, Kun Wang, Ning Wu, Yanqi Huang, Zhenyu Liu, Yue Cheng, Yuncui Gan, Yongzhao Zhou, Ping Zhou, Bojiang Chen, Changhong Liang, Zaiyi Liu, Weimin Li, Jie Tian

Clinical Cancer Research

DOI

2017

基于定量影像组学的肺肿瘤良恶性预测方法

张利文，刘侠，汪俊，董迪，宋江典，臧亚丽，田捷

《自动化学报》

DOI

2017

基于定量化CT影像特征的非小细胞肺癌预后分析研究

宋江典

《东北大学》

2014

多模态脑影像配准算法设计与实现

宋江典

《东北大学》

宋江典

精选作品

期刊论文

Optimal, Interpretable, and Personalized Immune Checkpoint Inhibitor Duration in Non‐Small Cell Lung Cancer: A Multicenter Real‐World Study

Clinical attribute-based risk matrix for prognostication in immunotherapy-treated non-small cell lung cancer

CT-based Deep Learning Model for Automatic Segmentation and Early Predicting of Pyogenic Liver Abscess Caused by Extended-Spectrum β-lactamase-Producing Enterobacteriaceae: A Multicenter Retrospective Study (CLASS2401)

From ambient assistance to data-driven precision in AI-enabled Alzheimer’s care (2004–2025): a bibliometric perspective

Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC

ASO Visual Abstract: A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings

Multimodal data-based graph convolutional networks for predicting outcomes in ovarian cancer receiving neoadjuvant chemotherapy

A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings

Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model

CT radiomic stratification signature to optimize clinical decisions for ovarian cancer patients receiving neoadjuvant chemotherapy and the underlying biological basis: a multicenter retrospective study

Role of artificial intelligence in medical image analysis

Prediction of neoadjuvant chemotherapy efficacy in patients with HER2-low breast cancer based on ultrasound radiomics

Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images

Artificial intelligence chatbot for lung nodule feature characterization and lung cancer probability estimation from chest CT images: a multi-center retrospective study

基于多参数磁共振瘤周区域的影像组学模型在脑胶质瘤预后评估中的应用价值

Interpretable multi-modal artificial intelligence model for predicting gastric cancer response to neoadjuvant chemotherapy

Suitability of GPT-4o as an evaluator of cardiopulmonary resuscitation skills examinations

PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma

EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC

Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell lung cancer

A general approach for automatic segmentation of pneumonia, pulmonary nodule, and tuberculosis in CT images

Development and validation of a deep learning model for survival prognosis of transcatheter arterial chemoembolization in patients with intermediate-stage hepatocellular carcinoma

A deep learning-based system for survival benefit prediction of tyrosine kinase inhibitors and immune checkpoint inhibitors in stage IV non-small cell lung cancer patients: A multicenter, prognostic study

深度学习人工智能技术在医学影像辅助分析中的应用

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation

Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020

Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curve

Deep learning predicts epidermal growth factor receptor mutation subtypes in lung adenocarcinoma

An Opportunity to Reduce Disparities in Lung Cancer Screening

基于双序列MRI的计算机辅助诊断鉴别软组织肿瘤良恶性的研究

Radiomics for the prediction of EGFR mutation subtypes in non‐small cell lung cancer

A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy

基于定量影像组学的肺肿瘤良恶性预测方法

基于定量化CT影像特征的非小细胞肺癌预后分析研究

多模态脑影像配准算法设计与实现