RT Journal Article
T1 AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research
A1 Alonso Fernández, Marcos
A1 Monasterio Astobiza, Aníbal
A1 Ortega Lozano, Ramón
AB 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.
PB Springer Nature
SN 0269-2821
YR 2025
FD 2025-08-20
LK https://hdl.handle.net/20.500.14352/124873
UL https://hdl.handle.net/20.500.14352/124873
LA eng
NO Alonso, M., Astobiza, A.M. & Ortega Lozano, R. AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research. Artif Intell Rev 58, 337 (2025). https://doi.org/10.1007/s10462-025-11306-7
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Unión Europea
DS Docta Complutense
RD 27 feb 2026