An open data collection of 3D tool and equipment models for neonatology

Virtual Simulation (VS) offers an elegant and effective solution to the current need for innovation in medical education, thanks to the possibility of creating low-cost, realistic training environments for repetitive practice without compromising patient safety. However, this training methodology is...

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Veröffentlicht in:Results in engineering 2025-03, Vol.25, p.104236, Article 104236
Hauptverfasser: Bardelli, Serena, Coro, Gianpaolo, Scaramuzzo, Rosa T., Ciantelli, Massimiliano, Cuttano, Armando
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Sprache:eng
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Zusammenfassung:Virtual Simulation (VS) offers an elegant and effective solution to the current need for innovation in medical education, thanks to the possibility of creating low-cost, realistic training environments for repetitive practice without compromising patient safety. However, this training methodology is only adopted in some healthcare settings often because of the absence of free digital libraries of clinical assets and tools. The present technical note describes a data collection of 3D models representing crucial tools and equipment used in maternal and newborn care training. We used free-to-use photogrammetry and structure-from-motion software and computational platform for 3D object reconstruction to digitalize the physical clinical instruments typically used during maternal and newborn care. In particular, we acquired photographs of 34 physical objects and reconstructed them as 3D models. Additionally, we created a complete, navigable virtual training room containing the 3D models. Eventually, we published the 3D models and the virtual training room as an open-access data collection on Sketchfab (a free-to-use online digital platform for 3D model publication), from which all models can be freely downloaded and inspected through Web browsers, mobile applications, and Virtual and Augmented Reality devices. Our data collection and repeatable and cost-effective methodology open new opportunities to use VS for training through simulation in healthcare.
ISSN:2590-1230
2590-1230
DOI:10.1016/j.rineng.2025.104236