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Configuring trust in AI-augmented healthcare: The role of AI interpretability and data privacy in patient adoption of AI-assisted diagnosis | Synapse
March 3, 2026
Configuring trust in AI-augmented healthcare: The role of AI interpretability and data privacy in patient adoption of AI-assisted diagnosis
XB
Xiangyu Bian
YC
Yitong Chen
AY
Aobo 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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Bian et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75ab9c6e9836116a20ec2
https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2026.103039
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