• Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Apr 2020

    Review

    [Research status and trend of artificial intelligence in the diagnosis of urinary diseases].

    • Feng Qin and Jiuhong Yuan.
    • Andrology Laboratory, Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
    • Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020 Apr 25; 37 (2): 230-235.

    AbstractRecently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of urinary diseases with the development of data storage, image processing, pattern recognition and machine learning technologies. Based on the massive biomedical big data of imaging and histopathology, many urinary system diseases (such as urinary tumor, urological calculi, urinary infection, voiding dysfunction and erectile dysfunction) will be diagnosed more accurately and will be treated more individualizedly. However, most of the current AI diagnosis and treatment are in the pre-clinical research stage, and there are still some difficulties in the wide application of AI. This review mainly summarizes the recent advances of AI in the diagnosis of prostate cancer, bladder cancer, kidney cancer, urological calculi, frequent micturition and erectile dysfunction, and discusses the future potential and existing problems.

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