Zhou Ziyi, Zhang Yiling, Mao Qiuyue, Wang Qin
Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2025 May;39(5):496-500. doi: 10.13201/j.issn.2096-7993.2025.05.020.
Ménière's disease（MD） is a common disorder of the inner ear. The fluctuating clinical symptoms and the absence of gold standards for diagnosis have posed serious problems for clinical diagnosis and treatment over the years. With the development of science and technology, artificial intelligence （AI） has been widely used in the field of medicine, and the potential of AI application to MD is demonstrated. The purpose of this review is to outline the use of AI in MD. Initially, specific instances where AI aids in differentiating MD from other causes of vertigo are presented. Furthermore, the role of AI in the evaluation of Endolymphatic Hydrops （EH）, particularly through imaging and biochemical assays, is highlighted due to its correlation with MD. Additionally, the effectiveness of AI in managing MD patients and forecasting disease progression is examined. In conclusion, the prevalent challenges hindering the clinical integration of AI in MD treatment are discussed, alongside potential strategies to surmount these barriers.
梅尼埃病（MD）是一种常见的内耳疾病。多年来，其波动的临床症状以及缺乏诊断金标准给临床诊断和治疗带来了严重问题。随着科学技术的发展，人工智能（AI）已在医学领域广泛应用，且已证明AI应用于MD的潜力。本综述的目的是概述AI在MD中的应用。首先，介绍AI有助于将MD与其他眩晕病因相鉴别的具体实例。此外，由于内淋巴积水（EH）与MD相关，强调了AI在EH评估中的作用，特别是通过成像和生化检测。此外，还研究了AI在管理MD患者和预测疾病进展方面的有效性。总之，讨论了阻碍AI在MD治疗中临床整合的普遍挑战以及克服这些障碍的潜在策略。
