Alexa Radu, Kranz Jennifer, Kuppe Christoph, Hayat Sikander, Hoffmann Marco, Saar Matthias
Klinik für Urologie und Kinderurologie, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland.
Universitätsklinik und Poliklinik für Urologie, Universitätsklinikum Halle (Saale), Halle (Saale), Deutschland.
Urologie. 2023 Apr;62(4):383-388. doi: 10.1007/s00120-023-02026-3. Epub 2023 Feb 2.
The use of artificial intelligence (AI) in urology can contribute to a significant improvement with regard to individualization of diagnostics and therapy as well as healthcare cost reduction. The potential applications and advantages of AI in medicine are often underestimated or incompletely understood. This makes it difficult to conceptually solve relevant medical problems using AI. With current advances in computer science, multiple, highly complex nonmedical processes have already been studied and optimized in an automated fashion. The development of AI models, if applied correctly, can lead to more effective processing and analysis of patient-related data and correspondingly optimized diagnosis and therapy of urological patients. In this review, the current status on the application of AI in medicine and its opportunities and possibilities in urology are presented from a conceptual perspective using practical examples.
人工智能（AI）在泌尿外科的应用有助于在诊断和治疗的个体化以及降低医疗成本方面取得显著改善。AI在医学中的潜在应用和优势常常被低估或未被完全理解。这使得在概念上利用AI解决相关医学问题变得困难。随着计算机科学的当前进展，多个高度复杂的非医学过程已经以自动化方式进行了研究和优化。如果应用得当，AI模型的开发可以导致对患者相关数据进行更有效的处理和分析，并相应地优化泌尿外科患者的诊断和治疗。在本综述中，将从概念角度并结合实际例子介绍AI在医学中的应用现状及其在泌尿外科中的机遇和可能性。
