个人信息
Personal Information
联系方式
Contact Information
个人简介
Personal Profile
主要研究方向为腹部超声及浅表组织超声,尤其是应用超声新技术及人工智能解决临床问题。
首都医科大学附属北京友谊医院超声科现有2名博导,3名硕导,团队在超声介入治疗有丰富的临床经验,科研方向涵盖超声新技术的临床研究和基础研究。
目前在研的项目关注于肝脏TIPS术后肝性脑病的准确评估。已经结题项目研究方向包括肝脏急性炎症中血流信息与弹性信息的内在机制、甲状腺结节的鉴别诊断及准确评估、乳腺恶性结节的鉴别诊断与疗效评价等。
首都卫生发展科研专项项目(首发2024-2-1102):基于深度学习的多模态超声预测TIPS术后肝性脑病(2024-2026)
1 Zhanxiong Yi, Enhui He, Peipei Yang,Zhixiang Wang, XiangdongHu, Ying Feng. Artificial neural network prediction of postoperative complicationsin papillary thyroid microcarcinoma based on preoperative ultrasonographicfeatures. J Clin Ultrasound. 2024(52):1–8. PMID: 39189355.
2 Zhixiang Wang, Ruifang Guo, Pengfei Sun, Linxue Qian, Xiangdong Hu. Enhancing DiagnosticAccuracy and Efciency with GPT‑4‑Generated Structured Reports:A Comprehensive Study. Journal of Medical andBiological Engineering. 2024,44(2):144–153.
3 PengfeiSun, Jiaqi Han, Min Li, Zhixiang Wang, Ruifang Guo, Yanning Zhang, Linxue Qian,Jianguo Ma, Xiangdong Hu.Ultrasound Spectral Combined With Clinical Pathological Parameters inPrediction of Axillary Lymph Node Metastatic in Breast Cancer. J Ultrasound Med2024 43(12):2311-2324.
4 YujiangLiu, Ying Feng, Linxue Qian, Zhixiang Wang, Xiangdong Hu. Deep learning diagnostic performanceand visual insights in differentiating benign and malignant thyroid nodules onultrasound images. Exp Biol Med (Maywood). 2023,248(24):2538-2546.
5 ChenQ, Liu Y, Liu J, Su Y, Qian L, Hu X. Development and validation of a dynamic nomogram based onconventional ultrasound and contrast-enhanced ultrasound for stratifying therisk of central lymph node metastasis in papillary thyroid carcinomapreoperatively. Front Endocrinol (Lausanne). 2023,14:1186381.
文件上传中...