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南京市科技局,2025年生物医药领域医工合作项目,2025SX00001260,人工智能辅助超声引导精准穿刺定位系统开发与临床验证,2025-08 至 2027-08,在研,主持
近5年发表文章
1. Li X, Hao C, Wei J, Zhu K, Wu L, Yang K,Li J, Zong S,Wang Z, Cui Y. A Sensitive Sensor for Silver Ion Detection Based on FRET andMicrofluidic Chip Using a Dual-Color Fluorescence Strategy. ACS Applied NanoMaterials 2025; 8(28): 14354-62. (IF=5.5)
2. Gao R,Han J, Song D, Wang P, Chen H, Shen H, Li J. Quantitative assessment of hepaticsteatosis by ultrasound-guided attenuation parameter in patients with impairedglucose tolerance. Insights Imaging 2025; 16(1): 247. (IF=4.5)
3. 高瑞霞,韩佳豪,宋丹蕾,王萍萍,李嘉. 三种超声技术对超重人群肝脂肪变性诊断性能的评估和比较. 中华医学超声杂志(电子版),2025,22(07):600-607.
4. 潘辰蕊,杨冰洁,沈会明,王颖彦,韩佳豪,李嘉. 多模态超声联合免疫炎症指标预测乳腺癌腋窝淋巴结转移的价值. 中华医学超声杂志(电子版),2025,22(10):969-975.
5. Huang Y, Li J, Liu C, Song D, Zhu C, Ren Y, Lv J,Jiang L, Shan R, Wang H, Wang Z, Long S, Jiang F, Xie X, Lu L, Qi R, Rong P,Shao C, Yao W, Gao Y, Wang W, Cheng J, Wong VW, Wang Y, Seto WK, Dong Y,Dietrich CF, Qi X. Noninvasive Quantification of Hepatic Steatosis UsingUltrasound-Derived Fat Fraction (CHESS2303): A Prospective Multicenter Study.MedComm (2020). 2025 Feb 27;6(3):e70123.(IF=10.7)
6. Yang BJ, Zhou HF, Liu Y, Yang W, Li J, Zhou WZ. Thecurrent progress and futural prospects of ultrasound-targeted microbubbledestruction for liver diseases: a narrative review. Transl GastroenterolHepatol. 2024 Nov 11;10:14. doi: 10.21037/tgh-24-53.(IF=2.5)
7. Han J, Liu C, Yang H, Dong Z, Li X, Gao R, Li J,Zhang Q, Ming WK, Li Z, Li J, Qi X. Caffeine intake associated with a lowerrisk of liver fibrosis in different glucose status. J Adv Res. 2025Dec:78:453-460.(IF=13.0)
8. Song D, Wang P, Han J, Chen H, Gao R, Li L, Li J.Reproducibility of ultrasound-derived fat fraction in measuring hepaticsteatosis. Insights Imaging. 2024 Oct 22;15(1):254. (IF=4.5)
9. Wang P, Song D, Han J, Zhang J, Chen H, Gao R, ShenH, Li J*. Comparing Three Ultrasound-Based Techniques for Diagnosing andGrading Hepatic Steatosis in Metabolic Dysfunction-Associated Steatotic LiverDisease. Acad Radiol. 2025 Apr;32(4):1949-1957. (IF=3.9)
10. 韩佳豪, 李嘉, 沈会明, 宋丹蕾, 王萍萍, 高瑞霞. 超声衍生脂肪分数对代谢异常相关脂肪性肝病的诊断效能. 中华超声影像学杂志,33:703-711,2024
11. Shi J, Chang Q, Ma M, Wang P, Li J*.Diagnostic value of measuring the talofibular space using stress sonography inchronic lateral ankle instability. Eur J Radiol. 2024 Jan;170:111273. doi:10.1016/j.ejrad.2023.111273.(IF=3.3)
12. Wei J#, Zhu K, Wang T, Qi T, Wang Z*, Li J*,Zong S*, Cui Y. Highly Accurate Profiling of Exosome Phenotypes UsingSuper-resolution Tricolor Fluorescence Co-localization. ACS Nano. 2024 Apr9;18(14):10206-10215.(IF=16.1)
13. Chen H#, Shen H#, Han J, Wang P, Song D, Shen H,Wei X, Yang B*, Li J*. Performance of ATT and UDFF in the diagnosis ofnon-alcoholic fatty liver: An animal experiment. Heliyon. 2024 Mar18;10(7):e27993.(IF=3.6)
14. 韩佳豪,李嘉,胡君等.腹部肌力动作用于产后腹直肌分离超声诊断可行性研究[J].中国临床医学影像杂志,2023,34(04):280-284.
15. 韩佳豪,李嘉,王玲等.新媒体平台在超声住培医师综合临床能力培养中的应用[J].中国继续医学教育,2023,15(11):105-109.
16. Shenfei Zong#*, Cheng Cao#, Kejian Chen, YipingCui* , Jia Li*, and Zhuyuan Wang. Red Blood Cell Membrane CamouflagedMesoporous Silica Nanorods as Nanocarriers for Synergistic Chemo-PhotothermalTherapy. IEEE TRANSACTIONS ON NANOBIOSCIENCE. 2023,22(3): 655-663(IF=4.4)
17. Wei YX#, Han JH#, Shen HM, Wang YY, Qi M, Wang L, LiJ*. Highly sensitive fluorescent detection of EDIL3 overexpressed exosomesfor the diagnosis of triple-negative breast cancer. Nanotechnology. 2022 Jul29;33(42).(IF=2.8)
18. Shenfei Zong#, Xiangyu Ye#,Junzhu Zong, Jia Li*,Zhuyuan Wang*, and Yiping Cui*,Telomerasedetection using a DNA-PAINT strategy. Nanotechnology. 2021 Sep 29;32(50). (IF=2.8)
19. Qiong Wei#, Xinyue Xu#, Li Guo, Jia Li*, Ling Li*.Effect of SGLT2 inhibitors on type 2 diabetes mellitus with non-alcoholic fattyliver disease: a meta-analysis of randomized controlled trials. Frontiers inEndocrinology.2021, 12, 635566(IF=4.6)
戚敏,王颖彦,沈会明,高亚琴,胡中倩,李嘉*.剪切波弹性成像与超声造影联合评分对乳腺病灶定性诊断的临床研究[J].南京医科大学学报(自然科学),2021,41(02):258-261+285.
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