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

Tong Xu; Xian-Ya Zhang; Na Yang; Fan Jiang; Gong-Quan Chen; Xiao-Fang Pan; Yue-Xiang Peng; Xin-Wu Cui

doi:10.3389/fonc.2023.1252630

Frontiers in Oncology (Mar 2024)

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

Tong Xu,
Xian-Ya Zhang,
Na Yang,
Fan Jiang,
Gong-Quan Chen,
Xiao-Fang Pan,
Yue-Xiang Peng,
Xin-Wu Cui

Affiliations

Tong Xu: Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Xian-Ya Zhang: Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Na Yang: Department of Ultrasound, Affiliated Hospital of Jilin Medical College, Jilin, China
Fan Jiang: Department of Medical Ultrasound, The Second Hospital of Anhui Medical University, Hefei, China
Gong-Quan Chen: Department of Medical Ultrasound, Minda Hospital of Hubei Minzu University, Enshi, China
Xiao-Fang Pan: Health Medical Department, Dalian Municipal Central Hospital, Dalian, China
Yue-Xiang Peng: Department of Ultrasound, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
Xin-Wu Cui: Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

DOI: https://doi.org/10.3389/fonc.2023.1252630
Journal volume & issue: Vol. 13

Abstract

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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.

Published in Frontiers in Oncology

ISSN: 2234-943X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Website: https://www.frontiersin.org/journals/oncology/

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