Artificial intelligence in neurology: opportunities, challenges, and policy implications
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415_2024_12220_ReferencePDF.pdf
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739.78 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Voigtlaender, Sebastian
Pawelczyk, Johannes
Geiger, Mario
Vaios, Eugene J.
Karschnia, Philipp
Cudkowicz, Merit
Dietrich, Jorg
Haraldsen, Ira R. J. H.
Feigin, Valery
Owolabi, Mayowa
Date Issued
February 17, 2024
Journal
Journal of Neurology
Publisher
Springer Berlin Heidelberg
Citation
Voigtlaender, S., Pawelczyk, J., Geiger, M. et al. Artificial intelligence in neurology: opportunities, challenges, and policy implications. J Neurol 271, 2258–2273 (2024).
Version
Author's final manuscript
Abstract
Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization’s Intersectoral Global Action Plan in 2022. Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI’s potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars—models, data, feasibility/equity, and regulation/innovation—through concerted pursuit of targeted recommendations. Paramount actions include swift, ethical, equity-focused integration of novel technologies into clinical workflows, mitigating data-related issues, counteracting digital inequity gaps, and establishing robust governance frameworks balancing safety and innovation.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s00415-024-12220-8
