Exploring the Potential of Artificial Intelligence (AI) and Augmented Reality (AR) in Neurological Disease Management: A Narrative Review

TL;DR

This paper reviews how AI and AR can improve neurological disease management through better diagnosis, treatment, and training, while addressing challenges like data security and cost.

Contribution

The paper provides a comprehensive narrative review of AI and AR applications in neurology, highlighting their potential and challenges.

Findings

AI and AR can enhance diagnostic accuracy and personalize treatment in neurological diseases.

AR improves surgical precision and healthcare training, while AI aids in neuroprosthetics and disease tracking.

Challenges include data security, AI bias, AR costs, and ethical concerns in clinical integration.

Abstract

Recent advancements in artificial intelligence (AI) and augmented reality (AR) hold significant promise for revolutionizing the management of neurological diseases. These technologies enable enhanced diagnostic accuracy, personalized treatment plans, and innovative rehabilitation strategies. AI-driven systems can analyze complex neuroimaging data, track disease progression, and assist in neuroprosthetic interventions, while AR improves surgical precision and supports interactive, immersive training for healthcare professionals. This narrative review explores the current and potential applications of AI and AR in neurology, focusing on their impact on diagnosing and treating neurodegenerative disorders, stroke, and other neurological conditions. We also address the challenges of data security, bias in AI models, and the high cost of AR devices, along with the ethical implications of integrating these technologies into clinical practice. The review concludes with a discussion of future directions, emphasizing the need for larger, long-term studies, interdisciplinary collaborations, and policy frameworks to ensure the safe, equitable, and effective implementation of AI and AR in neurological care.