2026-06-29T07:36:33Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1248922025-10-15T00:15:52Zcom_20.500.14352_14col_20.500.14352_15
AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research
Alonso Fernández, Marcos
Astobiza, Aníbal M.
Ortega Lozano, Ramón
61:004.8
Artificial intelligence
Healthcare
Trust
Ethics
Bioethics
Medical ethics
Bioética (Medicina)
Medicina
32 Ciencias Médicas
Financiado con fondos FEDER
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.
Ministerio de Ciencia e Innovación (España)
Depto. de Salud Pública y Materno - Infantil
Fac. de Medicina
TRUE
pub
2025-10-14T12:00:30Z
2025-10-14T12:00:30Z
2025-08
journal article
VoR
https://hdl.handle.net/20.500.14352/124892
1573-7462
10.1007/S10462-025-11306-7
0269-2821
eng
info:eu-repo/grantAgreement/MCIN/AEI/PID2022/137953OB-I00
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.
open access
application/pdf
Springer Nature Link