Work

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

Year: 2025

Type: article

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.

Source: Artificial Intelligence Review

DOI: 10.1007/s10462-025-11306-7

Authors: Marcos Alonso, Aníbal M. Astobiza, Ramón Ortega Lozano

Institutions: Universidad Complutense de Madrid, Universidad de Granada, Universidad Pontificia Comillas

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,190