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Trust, truth and transparency: analysing the references underpinning AI-generated surgical information
0
Zitationen
3
Autoren
2026
Jahr
Abstract
AI chatbots exhibit heterogeneous reference integrity, with risks of hallucinations and biases underscoring the need for prompt engineering, model refinements and ongoing evaluation. Our findings suggest ongoing caution is required in surgical contexts to ensure safe, equitable information dissemination.
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