Liu Xun, Shi Jianxi, Li Zhaopeng, Huang Yue, Zhang Zhihong, Zhang Changwen
Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China.
J Clin Med. 2023 Jul 29;12(15):4995. doi: 10.3390/jcm12154995.
Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomously. Although the clinical application of AI is still immature and faces drawbacks such as insufficient data and a lack of prospective clinical trials, AI will play an essential role in individualization and the whole management of cancers as research progresses. In this review, we summarize the applications and studies of AI in major urological cancers, including tumor diagnosis, treatment, and prognosis prediction. Moreover, we discuss the current challenges and future applications of AI.
人工智能在医学领域的研究和应用越来越受到关注。由于其能够自主选择数据中的特征以完成特定任务，在泌尿系统癌症检测、治疗及预后预测方面具有巨大潜力。尽管人工智能的临床应用仍不成熟，面临数据不足和缺乏前瞻性临床试验等缺点，但随着研究的进展，人工智能将在癌症个体化及整体管理中发挥重要作用。在本综述中，我们总结了人工智能在主要泌尿系统癌症中的应用和研究，包括肿瘤诊断、治疗及预后预测。此外，我们还讨论了人工智能当前面临的挑战和未来的应用。
