{"title":"Research status of artificial intelligence in the diagnosis of renal cell carcinoma","authors":"Weixing Jiang, Shan Zheng, J. Shou, Jianhui Ma","doi":"10.3760/CMA.J.CN112330-20190807-00357","DOIUrl":null,"url":null,"abstract":"At present, the application of artificial intelligence in the diagnosis of renal cell carcinoma (RCC) is still at an early stage. There were more reports of imaging diagnosis than pathology. Studies of imaging diagnosis mainly focused on using artificial intelligence to identify benign and malignant renal tumors and predict pathological types of RCC by computed tomography. However, there were no reports of artificial intelligence in diagnosing RCC by magnetic resonance imaging. Studies of pathological diagnosis were mainly about the classification of the nucleus. In the future, artificial intelligence has great development potential in the diagnosis of RCC, and further research is needed. \n \nKey words: \nCarcinoma, renal cell; Artificial intelligence; Machine learning; Deep learning","PeriodicalId":10343,"journal":{"name":"中华泌尿外科杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华泌尿外科杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.CN112330-20190807-00357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
At present, the application of artificial intelligence in the diagnosis of renal cell carcinoma (RCC) is still at an early stage. There were more reports of imaging diagnosis than pathology. Studies of imaging diagnosis mainly focused on using artificial intelligence to identify benign and malignant renal tumors and predict pathological types of RCC by computed tomography. However, there were no reports of artificial intelligence in diagnosing RCC by magnetic resonance imaging. Studies of pathological diagnosis were mainly about the classification of the nucleus. In the future, artificial intelligence has great development potential in the diagnosis of RCC, and further research is needed.
Key words:
Carcinoma, renal cell; Artificial intelligence; Machine learning; Deep learning
期刊介绍：
Chinese Journal of Urology (monthly) was founded in 1980. It is a publicly issued academic journal supervised by the China Association for Science and Technology and sponsored by the Chinese Medical Association. It mainly publishes original research papers, reviews and comments in this field. This journal mainly reports on the latest scientific research results and clinical diagnosis and treatment experience in the professional field of urology at home and abroad, as well as basic theoretical research results closely related to clinical practice.
The journal has columns such as treatises, abstracts of treatises, experimental studies, case reports, experience exchanges, reviews, reviews, lectures, etc.
Chinese Journal of Urology has been included in well-known databases such as Peking University Journal (Chinese Journal of Humanities and Social Sciences), CSCD Chinese Science Citation Database Source Journal (including extended version), and also included in American Chemical Abstracts (CA). The journal has been rated as a quality journal by the Association for Science and Technology and as an excellent journal by the Chinese Medical Association.
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