Table 1. Benefits of artificial intelligence (AI) in neurology.

MRI, magnetic resonance imaging; CT, computerized tomography

Reference: open source.

Benefits	Description
Improved diagnosis	AI can analyze medical images (MRI and CT scans) and detect subtle abnormalities or early signs of neurological diseases with high accuracy, aiding in early diagnosis and intervention [21].
Enhanced disease prediction	Machine learning models can predict the risk of developing neurological disorders based on genetic, clinical, and lifestyle data, allowing for proactive preventive measures.
Personalized treatment plans	AI can analyze patient data to tailor treatment plans, considering individual factors like genetics and therapy response, optimizing treatment effectiveness.
Clinical decision support	Neurologists can benefit from AI-based decision support systems that provide evidence-based recommendations for diagnosis and treatment, reducing errors and improving patient outcomes.
Efficient data management	AI systems can manage and process vast amounts of patient data, making it easier for healthcare providers to access and organize information for informed decision-making.
Drug discovery	AI accelerates drug discovery by analyzing genetic data, simulating molecular interactions, and identifying potential drug candidates for neurological conditions, speeding up the research process.
Early intervention in neurodegenerative diseases	AI algorithms can track subtle changes in patient data over time, allowing for early intervention in conditions like Alzheimer's and Parkinson's, potentially slowing disease progression.
Telemedicine and Remote monitoring	AI-enabled telemedicine platforms and wearable devices facilitate remote monitoring of neurological patients, improving access to care and reducing the burden on healthcare facilities.