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REVIEW ARTICLE

The transforming power of artificial intelligence in neurological diseases: Present applications and future directions

Harpreet Singh1* ,  Bhuvnesh Kumar Singh2 ,  Neelanchal Trivedi3 ,  Arun Kumar Mishra4 ,  Aniket Kakkar4 ,  Amit Anand5 ,  Arvind Kumar1 ,  Thangavel Venkatachalam6 ,  Shivani Chopra7 ,  Hitesh Chopra8 ,  Tabarak Malik9,10*
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1 Department of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Faculty of Pharmacy, IFTM University, Moradabad, Uttar Pradesh, India
2 Department of Pharmaceutical Chemistry, Moradabad Educational Trust Group of Institutions, Faculty of Pharmacy, Uttar Pradesh, India
3 Department of Pharmacology, Invertis Institute of Pharmacy, Invertis University, Bareilly, Uttar Pradesh, India
4 Department of Pharmaceutical Chemistry, Sahu Onkar Saran School of Pharmacy, Faculty of Pharmacy, IFTM University, Moradabad, Uttar Pradesh, India
5 Department of Pharmacognosy, JSS College of Pharmacy, Mysuru, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India
6 Department of Pharmaceutical Chemistry and Analysis Chemistry, JKK Munirajah Medical Research Foundation’s Annai JKK Sampoorani Ammal College of Pharmacy, Komarapalayam, Tamil Nadu, India
7 Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
8 Centre for Research Impact and Outcome, Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India
9 Department of Biomedical Sciences, Faculty of Medical Sciences, Institute of Health, Jimma University, Jimma, Oromia Region, Ethiopia
10 Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India
Advanced Neurology, 025450111 https://doi.org/10.36922/AN025450111
Received: 5 November 2025 | Revised: 15 December 2025 | Accepted: 16 December 2025 | Published online: 7 January 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Recent advances in artificial intelligence (AI) for the diagnosis, treatment, and management of neurological disorders are revolutionizing the world of neurology. This review discusses the current state of AI in neurology in terms of enhanced diagnostic accuracy and disease monitoring, as well as new personalized strategies for diagnosis and treatment. AI-driven models analyze vast amounts of healthcare data, including genetic information and brain scans, to identify patterns and biomarkers that may be overlooked using traditional methods. Machine learning and deep learning algorithms have shown promise in predicting the onset and progression of conditions, such as epilepsy, multiple sclerosis, Parkinson’s disease, and Alzheimer’s disease. AI-based neuroimaging analysis also enables more precise characterization of brain structure, facilitating early detection and intervention. Furthermore, AI-powered tools improve patient care by enabling remote monitoring and supporting rehabilitation, thereby enhancing the quality of life of individuals with chronic neurological conditions. Despite these advancements, challenges remain, including concerns about algorithmic bias, data security, and the need for rigorous clinical validation. This paper provides a comprehensive overview of AI-driven innovations in neurology, addressing both their practical implications and ethical considerations while highlighting future research opportunities. The ultimate goal is to illustrate AI’s transformative impact on neurology, contributing to better patient outcomes and a deeper understanding of complex neurological disorders.

Graphical abstract
Keywords
Artificial intelligence
Neurology
Biomarkers
Machine learning
Alzheimer’s disease
Parkinson’s disease
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
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Advanced Neurology, Electronic ISSN: 2810-9619 Print ISSN: 3060-8589, Published by AccScience Publishing
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