Research status of artificial intelligence in the diagnosis of renal cell carcinoma

Q4 Medicine

中华泌尿外科杂志 Pub Date : 2020-03-15 DOI:10.3760/CMA.J.CN112330-20190807-00357

Weixing Jiang, Shan Zheng, J. Shou, Jianhui Ma

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

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人工智能在肾癌诊断中的研究现状

目前，人工智能在肾细胞癌(RCC)诊断中的应用仍处于早期阶段。影像学诊断报告多于病理报告。影像学诊断的研究主要集中在利用人工智能识别肾脏良恶性肿瘤，并通过计算机断层扫描预测肾细胞癌的病理类型。然而，目前还没有人工智能在磁共振成像诊断RCC方面的报道。病理诊断方面的研究主要是关于核的分类。未来，人工智能在RCC的诊断中有很大的发展潜力，需要进一步的研究。关键词:癌;肾细胞;人工智能;机器学习;深度学习

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

中华泌尿外科杂志 Medicine-Nephrology

CiteScore

0.10

自引率

0.00%

发文量

14180

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.