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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
Published on: May 10, 2024
Exploring the Potential of Artificial Intelligence (AI) and Augmented Reality (AR) in Neurological Disease
Jennifer Ifeoma Anene1, Abhimanyu Sharma2, Arunveer Sharma3
1Internal Medicine, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, UKR.
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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.

