团队介绍：

医学影像AI实验室具备在医院内进行AI研发的软硬件环境，并有工程技术专家支持研究工作

项目情况：

首都卫生发展科研专项项目：mpMRI前列腺AI诊断效能的临床验证研究

招生信息（拟招生的研究方向）：

医学影像人工智能辅助诊断

科研项目：

医学影像人工智能辅助诊断

代表性研究成果：

[1]ZHU Y, LI Y, WANG K, et al. A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults [J]. J Appl Clin Med Phys, 2024: e14282.

[2] SUN Z, WANG K, WU C, et al. Using an artificial intelligence model to detect and localize visible clinically significant prostate cancer in prostate magnetic resonance imaging: a multicenter external validation study [J]. Quant Imaging Med Surg, 2024, 14(1): 43-60.

[3] ZHOU W, ZHANG X, DING J, et al. Improved breast lesion detection in mammogram images using a deep neural network [J]. Diagn Interv Radiol, 2023, 29(4): 588-95.

[4] ZHAO T, SUN Z, GUO Y, et al. Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms [J]. Front Oncol, 2023, 13: 1169922.

[5] XIE T, LI Y, LIN Z, et al. Deep learning for fully automated segmentation and volumetry of Couinaud liver segments and future liver remnants shown with CT before major hepatectomy: a validation study of a predictive model [J]. Quant Imaging Med Surg, 2023, 13(5): 3088-103.