[Application prospect of artificial intelligence technology in vestibular disorders]

Area of Science:

• Neuroscience
• Medical Technology
• Artificial Intelligence

Background:

• Vestibular disorders significantly impact patient quality of life and can be life-threatening.
• Current diagnostic and treatment methods for vestibular disorders are often insufficient and lack personalization.
• The underlying causes of many vestibular disorders remain poorly understood.

Purpose of the Study:

• To review the current applications of artificial intelligence (AI) in managing vestibular disorders.
• To explore the future potential of AI in improving diagnosis and treatment efficacy.
• To highlight AI's role in assisting clinical trials for vestibular conditions.

Main Methods:

• Literature review of studies applying AI to vertigo and vestibular disorders.
• Analysis of AI techniques used in diagnosis, treatment, and clinical trial support.
• Synthesis of findings on AI's impact on patient management.

Main Results:

• AI demonstrates promise in enhancing the accuracy and efficiency of vestibular disorder diagnosis.
• AI-driven personalized treatment strategies are emerging as a key area of development.
• AI tools can potentially optimize patient selection and monitoring in clinical trials.

Conclusions:

• Artificial intelligence presents a transformative opportunity for addressing the challenges in vestibular disorder care.
• Further research and development are needed to fully integrate AI into clinical practice.
• AI applications hold the potential to significantly improve patient outcomes and advance research in the field.