Research status and trend of artificial intelligence in the diagnosis of urinary diseases.
10.7507/1001-5515.201910055
- Author:
Feng QIN
1
;
Jiuhong YUAN
1
Author Information
1. Andrology Laboratory, Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, P.R.China.
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
cancer;
diagnosis;
erectile dysfunction;
urinary diseases;
urinary infection;
urological calculi
- MeSH:
Artificial Intelligence;
trends;
Diagnosis, Computer-Assisted;
trends;
Humans;
Image Processing, Computer-Assisted;
Urologic Diseases;
diagnosis
- From:
Journal of Biomedical Engineering
2020;37(2):230-235
- CountryChina
- Language:Chinese
-
Abstract:
Recently, 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.
