@misc{10481/106860,
year = {2025},
month = {8},
url = {https://hdl.handle.net/10481/106860},
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.},
organization = {CRUE-CSIC - Springer Nature (Open access)},
organization = {MCIN/AEI/10.13039/501100011033/ - FEDER (PID2022-137953OB-I00)},
publisher = {Springer},
keywords = {Artificial intelligence},
keywords = {Healthcare},
keywords = {Trust},
title = {AI-mediated healthcare and trust. A trust-construct and trust-factor framework for empirical research},
doi = {10.1007/s10462-025-11306-7},
author = {Alonso, Marcos and Monasterio Astobiza, Aníbal and Ortega Lozano, Ramón},
}