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March 3, 2026International Journal of Information Management3 citations

Configuring trust in AI-augmented healthcare: The role of AI interpretability and data privacy in patient adoption of AI-assisted diagnosis

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XBXiangyu BianYCYitong ChenAYAobo Yang

Key Points

  • Trust in AI-augmented healthcare is crucial for effective patient adoption of AI-assisted diagnosis, highlighting a key barrier to integration.
  • AI interpretability and data privacy received emphasis, indicating they are pivotal in building necessary trust among patients.
  • Assessment of patient perspectives shows the essential role of data privacy, as concerns remain high for 65% of respondents in healthcare AI adoption.
  • The findings suggest boosting confidence through solutions addressing interpretability and privacy may enable wider application of AI technologies.
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Cite This Study

Bian et al. (2026) studied this question.

synapsesocial.com/papers/69a75ab9c6e9836116a20ec2https://doi.org/10.1016/j.ijinfomgt.2026.103039
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