Department of Urology, University of Nice-Sophia Antipolis, Nice.
Department of Obstetrics and Gynecology.
Curr Opin Urol. 2021 Jul 1;31(4):385-390. doi: 10.1097/MOU.0000000000000888.
The aim of the present manuscript is to provide an overview on the current state of artificial intelligence (AI) tools in either decision making, diagnosis, treatment options, or outcome prediction in functional urology.
Several recent studies have shed light on the promising potential of AI in functional urology to investigate lower urinary tract dysfunction pathophysiology but also as a diagnostic tool by enhancing the existing evaluations such as dynamic magnetic resonance imaging or urodynamics. AI may also improve surgical education and training because of its automated performance metrics recording. By bringing prediction models, AI may also have strong therapeutic implications in the field of functional urology in the near future. AI may also be implemented in innovative devices such as e-bladder diary and electromechanical artificial urinary sphincter and could facilitate the development of remote medicine.
Over the past decade, the enthusiasm for AI has been rising exponentially. Machine learning was well known, but the increasing power of processors and the amount of data available has provided the platform for deep learning tools to expand. Although the literature on the applications of AI technology in the field of functional urology is relatively sparse, its possible uses are countless especially in surgical training, imaging, urodynamics, and innovative devices.
本文旨在概述人工智能 (AI) 工具在功能泌尿科中的决策、诊断、治疗选择或预后预测方面的现状。
最近的几项研究揭示了 AI 在功能泌尿科中具有很大的潜力，它可以研究下尿路功能障碍的病理生理学，也可以作为一种诊断工具，通过增强现有的评估方法，如动态磁共振成像或尿动力学。AI 还可以通过自动记录性能指标来改善手术教育和培训。通过引入预测模型，AI 在功能泌尿科领域也可能在不久的将来具有很强的治疗意义。AI 也可以应用于电子膀胱日记和机电人工尿道括约肌等创新设备中，并可以促进远程医疗的发展。
在过去的十年中，人们对 AI 的热情呈指数级增长。机器学习已经广为人知，但处理器功能的增强和可用数据量的增加为深度学习工具的扩展提供了平台。尽管关于 AI 技术在功能泌尿科中应用的文献相对较少，但它的潜在用途是无穷无尽的，特别是在手术培训、成像、尿动力学和创新设备方面。
