The “DeepSeek effect” and the adoption–integration gap of generative artificial intelligence in clinical practice: a national online convenience cross-sectional survey of academic critical care physicians in China - Summary - MDSpire
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The “DeepSeek effect” and the adoption–integration gap of generative artificial intelligence in clinical practice: a national online convenience cross-sectional survey of academic critical care physicians in China
To evaluate the 'DeepSeek effect' on self-reported GAI competency, integration into clinical practice, and organized training before and after the model's introduction.
Approach:
Key Findings:
Self-reported GAI utilization increased from 64.7% to 94.1% after DeepSeek's launch (p < 0.001).
Engagement in formal GAI training remained low (13.2% vs. 13.7%, p = 0.84).
Fewer than 30% of trained physicians completed structured training, linked to improved self-reported competence (AOR = 22.2, p = 0.021).
Physicians prioritized critical integration skills over basic technical proficiency (OR = 16.3, p < 0.001).
Interpretation:
The 'DeepSeek effect' led to increased GAI adoption but highlighted a significant gap in integration and self-assessed professional proficiency.
Limitations:
The study did not assess comprehensive institutional-level integration.
The findings are based on self-reported data, which may introduce bias.
Conclusion:
The findings indicate a gap between GAI adoption and integration in clinical practice.