AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research

Abstract Application of Artificial Intelligence (AI) in healthcare is growing exponentially, and its use is expected to continue expanding in the coming years. However, lack of trust in AI systems remains a significant barrier to their widespread adoption. This article analyzes the problem of trust, its various features and its application in AI-mediated healthcare. We first review the literature on trust and trust in technology to detect which theoretical constructs are essential to trust. We then identify the factors that we consider fundamental for a rich and complex comprehension of trust in AI-mediated healthcare. We finally propose a trust-factor framework that could be used for empirical research on AI-mediated healthcare and its practical implementation.

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Publication Details

Journal
Artificial Intelligence Review
Published
2025-08-20
DOI
https://doi.org/10.1007/s10462-025-11306-7
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research

Aníbal Monasterio Astobiza, Marcos Alonso Fernández, Ramón Ortega Lozano
1 citations
Artificial Intelligence Review
Artificial Intelligence in Healthcare and Education
0.65
article

AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research

Aníbal Monasterio Astobiza, Marcos Alonso Fernández, Ramón Ortega Lozano
article en
1 citations

Abstract

Abstract Application of Artificial Intelligence (AI) in healthcare is growing exponentially, and its use is expected to continue expanding in the coming years. However, lack of trust in AI systems remains a significant barrier to their widespread adoption. This article analyzes the problem of trust, its various features and its application in AI-mediated healthcare. We first review the literature on trust and trust in technology to detect which theoretical constructs are essential to trust. We then identify the factors that we consider fundamental for a rich and complex comprehension of trust in AI-mediated healthcare. We finally propose a trust-factor framework that could be used for empirical research on AI-mediated healthcare and its practical implementation.

Artificial Intelligence ReviewVol. 58(11)
Universidad Complutense de Madrid (ES), Universidad de Granada (ES), Hospital San Juan de Dios (CL)
Universidad Complutense de Madrid, Agencia Estatal de Investigación
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
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