Trust, Security, and Regulatory Compliance in AI: Literature and Practical Experience, and the Way Forward for AI in Healthcare

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AI enhances patient care and healthcare systems through improved workflows and personalized care, but trust is crucial.
Key concerns include the impact of AI on user attitudes and cybersecurity related to data privacy and security.
The paper reviews practical experiences and literature, highlighting automation trust theory and its implications.
Future work is suggested to enhance regulatory compliance and address ethical considerations around AI use in healthcare.

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Literature review reveals solutions for regulatory compliance and user trust in AI-driven healthcare systems.

Masalonis et al. (2025) studied this question.

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