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This is a Cross-Sectional Study study (also classified as: Quantitative Study).

October 13, 2025Open Access

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study

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Trust serves as a critical mediator influencing user intention to adopt DeepSeek in healthcare contexts.
Ease of use significantly affects usage intentions through trust, while perceived usefulness directly promotes adoption.
Risk perception shows a negative impact on usage intent, highlighting the need for transparent data governance.
Significant non-linear relationships emerged for ease of use and risk, suggesting complexity in user adoption factors.

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Cross-sectional survey shows user intent influenced by trust and ease of use in healthcare, indicating significant interactions with risk perception.

Choudhury et al. (2025) studied this question.

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Cross-sectional survey shows user intent influenced by trust and ease of use in healthcare, indicating significant interactions with risk perception.