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Updated: Sep 11, 2025

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone

Published on: January 2, 2020

3D Printing Today, AI Tomorrow: Rethinking Apert Syndrome Surgery in Low-Resource Settings.

Maria Bajwa^1,2,3, Mustafa Pasha⁴, Zafar Bajwa^5,6,7

¹MGH Institute of Health Professions (IHP), Boston, MA 02129-4557, USA.

Healthcare (Basel, Switzerland)

|August 14, 2025

Summary

Low-cost 3D printing provides a valuable tool for presurgical planning in resource-limited settings, aiding infant craniofacial surgery. This approach enhances simulation, reduces operative time, and minimizes complications.

Keywords:

3-dimensional printing 3D printing apert syndrome artificial intelligence (AI) and 3D printing craniofacial surgery healthcare simulation presurgical planning surgical planning

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Last Updated: Sep 11, 2025

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Area of Science:

Medical simulation
Craniofacial surgery
3D printing applications

Background:

Apert syndrome presents complex craniofacial challenges requiring precise surgical planning.
Resource-limited settings often lack advanced surgical simulation tools.
This study explores low-cost 3D printing for patient-specific presurgical planning.

Observation:

A patient-specific, 3D-printed cranial model was created for an infant with Apert syndrome.
The model was fabricated using fused deposition modeling (FDM) with ABS filament.
The 3D model facilitated detailed assessment of cranial anatomy and surgical simulation.

Findings:

The 3D-printed model enabled simulation of osteotomies and incision placement.
Utilizing the model led to reduced operative time and fewer surgical complications.
This demonstrates the efficacy of accessible 3D printing in improving surgical outcomes.

Implications:

Accessible 3D printing can significantly enhance presurgical planning in low-resource environments.
Future integration of Artificial Intelligence (AI) can further optimize simulation models.
AI could automate segmentation and reconstruction, increasing efficiency and scalability for craniofacial surgery.