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This review aims to explore factors influencing trust in AI systems used in healthcare settings.

Exploring trust factors in AI-healthcare integration: a rapid review

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This review aims to explore factors influencing trust in AI systems used in healthcare settings.
Conducted a comprehensive search of MEDLINE, Embase, and CINAHL databases using AI, healthcare, and trust keywords.
Screened 872 unique citations, with 40 studies meeting inclusion criteria for analysis.
Identified three core themes related to trust in AI: AI literacy, AI psychology, and AI utility.
Highlighted the importance of AI literacy for fostering trust among patients and clinicians.
Identified demographic and experiential influences on trust, such as age and prior AI exposure.
Emphasized perceived usefulness and system efficiency in AI integration within clinical workflows.

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Rapid review identifies trust determinants in AI healthcare adoption, implying improved user confidence and safety.

Kelvi Toskovich (2025) studied this question.

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