October 2, 2025BioengineeringOpen Access

From Trust in Automation to Trust in AI in Healthcare: A 30-Year Longitudinal Review and an Interdisciplinary Framework

View Full Paper

Ask AI

Bookmark

Trust in AI has evolved from earlier trust in automation, highlighting changes in methodology and theory over three decades.
Key determinants of human-AI trust in healthcare include user characteristics, AI system attributes, and contextual factors.
The I-HATR framework integrates explainable AI with human-computer interaction to improve trust in healthcare applications.
Growing use of multimodal evaluation methods indicates a shift towards more dynamic and comprehensive assessments of trust.

Discussion

No takes yet. Share an insight, caveat, or question.

Narrative review reveals trends in trust in AI and healthcare, emphasizing the role of explainable AI and interdisciplinary approaches.

Wong et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark