A narrative review on the application of artificial intelligence in renal ultrasound

被引:2
作者
Xu, Tong [1 ]
Zhang, Xian-Ya [1 ]
Yang, Na [2 ]
Jiang, Fan [3 ]
Chen, Gong-Quan [4 ]
Pan, Xiao-Fang [5 ]
Peng, Yue-Xiang [6 ]
Cui, Xin-Wu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, Wuhan, Peoples R China
[2] Jilin Med Coll, Dept Ultrasound, Affiliated Hosp, Jilin, Peoples R China
[3] Anhui Med Univ, Hosp 2, Dept Med Ultrasound, Hefei, Peoples R China
[4] Hubei Minzu Univ, Minda Hosp, Dept Med Ultrasound, Enshi, Peoples R China
[5] Dalian Municipal Cent Hosp, Hlth Med Dept, Dalian, Peoples R China
[6] Wuhan Univ, Tongren Hosp, Wuhan Hosp 3, Dept Ultrasound, Wuhan, Peoples R China
关键词
artificial intelligence; ultrasound; kidney; machine learning; deep learning; GLOMERULAR-FILTRATION; ANTENATAL HYDRONEPHROSIS; KIDNEY-DISEASE; NEPHRECTOMY; OUTCOMES; MASSES; VOLUME; RISK;
D O I
10.3389/fonc.2023.1252630
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Kidney disease is a serious public health problem and various kidney diseases could progress to end-stage renal disease. The many complications of end-stage renal disease. have a significant impact on the physical and mental health of patients. Ultrasound can be the test of choice for evaluating the kidney and perirenal tissue as it is real-time, available and non-radioactive. To overcome substantial interobserver variability in renal ultrasound interpretation, artificial intelligence (AI) has the potential to be a new method to help radiologists make clinical decisions. This review introduces the applications of AI in renal ultrasound, including automatic segmentation of the kidney, measurement of the renal volume, prediction of the kidney function, diagnosis of the kidney diseases. The advantages and disadvantages of the applications will also be presented clinicians to conduct research. Additionally, the challenges and future perspectives of AI are discussed.
引用
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页数:10
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