Artificial intelligence applications in Ménière's disease.
10.13201/j.issn.2096-7993.2025.05.020
- Author:
Ziyi ZHOU
1
;
Yiling ZHANG
1
;
Qiuyue MAO
1
;
Qin WANG
1
Author Information
1. Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
- Publication Type:English Abstract
- Keywords:
Ménière’s disease;
artificial intelligence;
deep learning;
endolymphatic hydrops;
machine learning
- MeSH:
Humans;
Meniere Disease/diagnosis*;
Artificial Intelligence;
Endolymphatic Hydrops/diagnosis*
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(5):496-500
- CountryChina
- Language:Chinese
-
Abstract:
Objective: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.
