Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders

This study offers a novel economic framework for integrating AI-driven systems in neurological healthcare. We recommend the adoption of adaptive policy mechanisms and stakeholder-specific incentives to enhance cost-effectiveness and equitable access. These insights contribute to the development of more sustainable and inclusive AI-based healthcare policies.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-05-15
DOI
https://doi.org/10.3389/fpubh.2025.1588270
Citations
4
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
22.37

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article

Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders

Song Xiang, Li Li, Jing Zhang
4 citations
Frontiers in Public Health
Insurance, Mortality, Demography, Risk Management
22.37
article

Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders

Song Xiang, Li Li, Jing Zhang
article en
4 citations

Abstract

This study offers a novel economic framework for integrating AI-driven systems in neurological healthcare. We recommend the adoption of adaptive policy mechanisms and stakeholder-specific incentives to enhance cost-effectiveness and equitable access. These insights contribute to the development of more sustainable and inclusive AI-based healthcare policies.

Frontiers in Public HealthVol. 13
Panzhihua University (CN), Taizhou Vocational and Technical College (CN), Advanced Laser Technology (United Kingdom) (GB), Taizhou University (CN)
Department of Education of Zhejiang Province
Openalex Percentile: Top 1%
Insurance, Mortality, Demography, Risk Management
22.37
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Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders — Song Xiang, Li Li, et al. · Frontiers in Public Health (2025) | TGRS Research Map | TGRS