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EDITORIAL
Artificial intelligence in neurology: Beyond accuracy toward clinical responsibility
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1 Algorithmic Medicine Laboratory, Department of Osteopathic Manipulative Medicine, College of Osteopathic Medicine, New York Institute of Technology, Old Westbury, New York,
United States of America
Advanced Neurology, 026160009 https://doi.org/10.36922/AN026160009
Received: 16 April 2026 | Published online: 22 May 2026
(This article belongs to the Special Issue Artificial Intelligence Applied to Neurology)
© 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/ )
Conflict of interest
Milan Toma is the Guest Editor of this Special Issue. The author declares that he has no competing interests relevant to the content of this editorial.
References
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- Toma M. AI-Assisted Medical Diagnostics: A Clinical Guide to Next-Generation Diagnostics. New York City, USA: Dawning Research Press. 2025.
- Toma M. Diagnosing AI: Evaluation of AI in Clinical Practice. New York City, USA: Dawning Research Press. 2026.
- Leming M, Kim K, Bruffaerts R, Im H. Strategies for mitigating data heterogeneities in AI-based neuro-disease detection. Neuron. 2025;113(8):1129-1132. doi: 10.1016/j.neuron.2025.01.028
