ArticleFrontiers in bioengineering and biotechnology2026
Application and validation of AI-assisted 3D-Printed gastroduodenal anatomical variation models in specialized nursing training.
Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate the application effectiveness of AI-assisted 3D printing technology for modeling anatomically abnormal upper gastrointestinal-biliary systems in ERCP specialized nurse training. Methods: A total of 179 nursing staff were randomly assigned to an experimental group (n = 84) receiving AI-assisted 3D-printed biliary models or a control group (n = 95) receiving traditional instruction. Post-training outcomes included theoretical and practical examinations, a five-point Likert questionnaire (covering teaching model, content, learning interest, operational skills, and problem-solving abilities), and expert evaluations. Statistical analyses compared the two groups. Results: The experimental group showed significantly higher theoretical and practical assessment scores than the control group (both Conclusion: AI-assisted 3D printing technology demonstrated preliminary advantages in ERCP nurse training, but its broader application requires validation in larger, multi-center trials with long-term outcomes.
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