Rodler Severin, Hügelmann Konrad, von Knobloch Hans Christoph, Weiss Marie-Luise, Buck Leonhard, Kohler Jakob, Fabian Alexander, Jarczyk Jonas, Nuhn Philipp
Klinik für Urologie, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105, Kiel, Deutschland.
Klinik für Strahlentherapie, Universitätsklinikum Schleswig-Holstein, Kiel, Deutschland.
Urologie. 2025 Jun 24. doi: 10.1007/s00120-025-02620-7.
Artificial intelligence (AI) is a disruptive technology that is currently finding widespread application after having long been confined to the domain of specialists. In urology, in particular, new fields of application are continuously emerging, which are being studied both in preclinical basic research and in clinical applications. Potential applications include image recognition in the operating room or interpreting images from radiology and pathology, the automatic measurement of urinary stones and radiotherapy. Certain medical devices, particularly in the field of AI-based predictive biomarkers, have already been incorporated into international guidelines. In addition, AI is playing an increasingly more important role in administrative tasks and is expected to lead to enormous changes, especially in the outpatient sector. For urologists, it is becoming increasingly more important to engage with this technology, to pursue appropriate training and therefore to optimally implement AI into the treatment of patients and in the management of their practices or hospitals.
人工智能(AI)是一项具有颠覆性的技术,长期以来一直局限于专家领域,目前正在得到广泛应用。特别是在泌尿外科领域,新的应用领域不断涌现,正在临床前基础研究和临床应用中进行研究。潜在应用包括手术室中的图像识别或解读放射学和病理学图像、尿路结石的自动测量以及放射治疗。某些医疗设备,特别是在基于人工智能的预测生物标志物领域,已经被纳入国际指南。此外,人工智能在行政任务中发挥着越来越重要的作用,预计将带来巨大变化,尤其是在门诊部门。对于泌尿外科医生来说,参与这项技术、接受适当培训并因此将人工智能最佳地应用于患者治疗以及诊所或医院的管理变得越来越重要。