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- W3020695909 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.近年来，随着数据储存、图像处理、模式识别和机器学习等技术的进步，人工智能在泌尿疾病的诊疗方面得到了广泛的应用。基于影像学和组织病理学等海量的生物医学大数据，人工智能技术可以让医务工作者对泌尿系肿瘤、泌尿系结石、泌尿系感染、泌尿功能异常和勃起功能障碍等几类泌尿疾病的诊断更为精准，让治疗更加个性化。然而，目前人工智能诊疗大多处于研究阶段，在实际的应用中尚存在一些问题。本文以辅助诊断为线索，对人工智能方法在前列腺癌、膀胱癌、肾癌、尿路结石、尿频、勃起功能障碍等常见泌尿疾病的应用和研究情况予以综述，并进一步探讨其存在的问题和未来发展方向。." @default.
- W3020695909 created "2020-05-01" @default.
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- W3020695909 date "2020-04-25" @default.
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- W3020695909 title "[Research status and trend of artificial intelligence in the diagnosis of urinary diseases]." @default.
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- W3020695909 doi "https://doi.org/10.7507/1001-5515.201910055" @default.
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