December 2, 2025Frontiers in Public HealthOpen Access

Implicit bias in digital health: systematic biases in large language models’ representation of global public health attitudes and challenges to health equity

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Digital health tools exhibit implicit bias, indicating potential challenges to health equity.
Findings highlight the critical role of cultural context in shaping public health perspectives.
Systematic analysis of multiple large language models demonstrates representational disparities across nations.
This work underscores the importance of addressing biases in digital health to enhance equitable health access.

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Systematic analysis reveals implicit bias in digital health tools, suggesting implications for health equity.

Y.T. Feng (2025) studied this question.

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