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Abstract：
The storage and periodic voiding of urine in the lower urinary tract are regulated by a complex neural control system that includes the brain, spinal cord, and peripheral autonomic ganglia. Investigating the neuromodulation mechanisms of the lower urinary tract helps to deepen our understanding of urine storage and voiding processes, reveal the mechanisms underlying lower urinary tract dysfunction, and provide new strategies and insights for the treatment and management of related diseases. However, the current understanding of the neuromodulation mechanisms of the lower urinary tract is still limited, and further research methods are needed to elucidate its mechanisms and potential pathological mechanisms. This article provides an overview of the research progress in the functional study of the lower urinary tract system, as well as the key neural regulatory mechanisms during the micturition process. In addition, the commonly used research methods for studying the regulatory mechanisms of the lower urinary tract and the methods for evaluating lower urinary tract function in rodents are discussed. Finally, the latest advances and prospects of artificial intelligence in the research of neuromodulation mechanisms of the lower urinary tract are discussed. This includes the potential roles of machine learning in the diagnosis of lower urinary tract diseases and intelligent-assisted surgical systems, as well as the application of data mining and pattern recognition techniques in advancing lower urinary tract research. Our aim is to provide researchers with novel strategies and insights for the treatment and management of lower urinary tract dysfunction by conducting in-depth research and gaining a comprehensive understanding of the latest advancements in the neural regulation mechanisms of the lower urinary tract.
摘要：
尿液在下尿路中的储存和周期性排尿是由包括大脑在内的复杂神经控制系统调节的，脊髓,和外周自主神经节。研究下尿路的神经调节机制有助于加深我们对尿液储存和排尿过程的理解，揭示下尿路功能障碍的潜在机制，并为相关疾病的治疗和管理提供新的策略和见解。然而,目前对下尿路神经调节机制的理解仍然有限，需要进一步的研究方法来阐明其机制和潜在的病理机制。本文就下尿路系统功能研究的研究进展作一综述,以及排尿过程中的关键神经调节机制。此外,讨论了研究下尿路调节机制的常用研究方法和评价啮齿动物下尿路功能的方法。最后,讨论了人工智能在下尿路神经调节机制研究中的最新进展和前景。这包括机器学习在下尿路疾病诊断和智能辅助手术系统中的潜在作用。以及数据挖掘和模式识别技术在推进下尿路研究中的应用。我们的目标是通过深入研究和全面了解下尿路神经调节机制的最新进展，为研究人员提供下尿路功能障碍的治疗和管理的新策略和见解。
