How Can We Show That Artificial Intelligence May Improve Our Assessment and Management of Lower Urinary Tract Dysfunctions?-ICI-RS 2024.

IF 1.8 3区医学 Q3 UROLOGY & NEPHROLOGY

Neurourology and Urodynamics Pub Date : 2025-03-01 Epub Date: 2024-10-25 DOI:10.1002/nau.25606

Enrico Finazzi Agrò, Eleonora Rosato, George Bou Kheir, Kevin Rademakers, Márcio Augusto Averbeck, Tufan Tarcan, Hashim Hashim, Andrew Gammie, Sanjay Sinha, Qi-Xiang Song, Rayan Mohamed-Ahmed, Anasofia Da Silva, Riccardo Lombardo, Paul Abrams, Alan Wein, Glenn T Werneburg

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Abstract

Aims: The integration of artificial intelligence (AI) into functional urology management must be assessed for its clinical utility, but hopefully will change, perhaps to revolutionize the way LUTD and other conditions are assessed, the aim being to offer patients more rapid and effective management which enhances patient outcomes. The aim of this proposal, discussed at the ICI-RS annual meeting, is to evaluate the available evidence on AI and the way it might change the approach to urodynamic (UDS) diagnoses, including overactive bladder syndrome (OAB), and perhaps other LUTDs such as bladder outflow obstruction.

Methods: A compendium of discussion based on the current evidence related to AI and its potential applications in UDS and OAB.

Results: AI-powered diagnostic tools are being developed to analyze complex datasets from urodynamic studies, imaging, and other diagnostic tests. AI systems can leverage large volumes of clinical data to recommend personalized treatment plans based on individual patient profiles to optimize surgical procedures, enhance diagnostic precision, tailor the therapy, reduce the risk of complications, and improve outcomes. In the future, AI will be able to provide tailored counseling regarding the outcomes and potential side effects of drugs and procedures to a given patient.

Conclusion: AI's role in functional urology has been poorly investigated, and its implementation across several areas may improve clinical care and the pathophysiological understanding of functional urologic conditions.

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我们如何证明人工智能可以改善我们对下尿路功能障碍的评估和管理？

目的：将人工智能（AI）融入功能性泌尿科管理必须对其临床实用性进行评估，但希望它能改变，或许能彻底改变尿失禁和其他疾病的评估方式，目的是为患者提供更快速、更有效的管理，从而提高患者的治疗效果。在 ICI-RS 年会上讨论的这项提案旨在评估有关人工智能的现有证据，以及人工智能可能改变尿动力学（UDS）诊断方法的方式，包括膀胱过度活动症（OAB），或许还包括膀胱外流阻塞等其他 LUTD：方法：根据目前与人工智能及其在尿动力学诊断和膀胱过度活动症中的潜在应用相关的证据进行讨论汇编：目前正在开发人工智能诊断工具，用于分析来自尿动力学研究、成像和其他诊断测试的复杂数据集。人工智能系统可以利用大量临床数据，根据患者的个人情况推荐个性化治疗方案，以优化手术过程、提高诊断精确度、量身定制治疗方案、降低并发症风险并改善疗效。未来，人工智能将能为特定患者提供量身定制的咨询服务，介绍药物和手术的疗效和潜在副作用：人工智能在功能性泌尿科中的作用尚未得到充分研究，在多个领域应用人工智能可能会改善临床护理和对功能性泌尿科疾病的病理生理学理解。

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

Neurourology and Urodynamics 医学-泌尿学与肾脏学

CiteScore

4.30

自引率

10.00%

发文量

231

审稿时长

4-8 weeks

期刊介绍： Neurourology and Urodynamics welcomes original scientific contributions from all parts of the world on topics related to urinary tract function, urinary and fecal continence and pelvic floor function.