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.
Subject(s)
Humans , Artificial Intelligence , Diagnosis, Computer-Assisted , Image Processing, Computer-Assisted , Urologic Diseases , DiagnosisABSTRACT
Objective To evaluate the diagnostic efficacy of MR urography(MRU) in the diagnosis of urinary diseases. Methods MR urography was performed in 58 patients with urologic diseases,inclu- ding :renal tuberculosis(6),various congenital anomalies of urinary tract(27),renal pelvis carcinoma(2), ureteral carcinoma (10),ureteral polyp(2),ureteral calculi(8) and iatrogenic ureteral stricture(3). Results MR urography provided high-resolution images of the kidneys and urinary tract in all patients.The characteristics of renal tuberculosis,urinary tract dilation and the various anatomic anomalies were depicted well.MR urography was successful in localizing the level of obstruction in all of the 58 patients(100%),although MR urography alone could not reliably determine the cause of obstruction in some cases. Conclusions In diagnosing urinary diseases,MR urography has its advantages and limitations.It should be used appropriately in diagnosing urinary diseases.