RT Journal Article
T1 AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research
A1 Alonso Fernández, Marcos
A1 Astobiza, Aníbal M.
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 Link
SN 1573-7462
YR 2025
FD 2025-08
LK https://hdl.handle.net/20.500.14352/124892
UL https://hdl.handle.net/20.500.14352/124892
LA eng
NO Alonso, Marcos, et al. «AI-Mediated Healthcare and Trust. A Trust-Construct and Trust-Factor Framework for Empirical Research». Artificial Intelligence Review, vol. 58, n.o 11, agosto de 2025, p. 337. DOI.org (Crossref), https://doi.org/10.1007/s10462-025-11306-7.
NO Financiado con fondos FEDER
NO Ministerio de Ciencia e Innovación (España)
DS Docta Complutense
RD 21 mar 2026