Stratasys Introduces Dental Anatomical Model Preset for Education and Clinical Training

3D printer OEM Stratasys has introduced a dental anatomical model preset designed for simulation-based education and clinical training. The multi-material 3D printed solution offers a synthetic alternative to cadavers, animal specimens, and stone models, addressing cost, variability, and ethical concerns that continue to affect traditional training environments.

As dental education increasingly incorporates digital workflows, institutions are seeking standardized models that provide realistic anatomy without the storage, biohazard, and approval requirements associated with biological materials. The new preset is positioned to support consistent, scalable hands-on learning across classrooms, clinics, and product demonstrations.


Stratasys launches its new dental anatomical model preset. Photo via Stratasys.

Multi-Material Technology for Anatomical Accuracy

The preset uses predefined material parameters to control how multiple polymers are blended and distributed within a single print. This approach enables the production of dental and musculoskeletal structures that replicate the biomechanical response of bone, teeth, nerves, and soft tissue while maintaining repeatability across batches.

Unlike conventional plastic models, which often lack detailed anatomical behavior, or biological specimens that vary from case to case, the fully synthetic models provide predictable performance and can be manufactured at scale. Built using Stratasys’ multi-material additive manufacturing systems, they allow realistic drilling, cutting, suturing, implant placement, and other procedural simulations.

The models can be generated from Cone-Beam Computed Tomography (CBCT) scan data to replicate patient-specific conditions and complex cases, including atrophic jaws, sinus elevation procedures, and bone grafting scenarios. They are suitable for a broad range of interventions such as extractions, implant placement, periodontal and endodontic surgery, and sinus augmentation.

Applications Across the Dental Ecosystem

The solution is intended for dental schools, training centers, and medical device manufacturers. OEMs can use anatomically accurate replicas to support product validation and clinician demonstrations, potentially shortening development timelines. Training facilities can replace specimen-based labs with on-demand scenarios that simplify operations. Academic institutions can provide students with repeated exposure to realistic cases before transitioning to live patient care.

“With this preset for dental anatomical models, we are entering a new segment of digital dental education and clinical simulation, helping customers move beyond traditional training methods toward more standardized, technology-driven learning environments,” said Erez Ben Zvi, VP Medical at Stratasys. “By combining anatomical realism with repeatability and customization, we’re enabling educators, clinicians, and device manufacturers to prepare for real-world procedures with greater confidence and consistency.”

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The dental preset adds to a broader library of anatomical configurations developed to simulate various tissue types, supporting expanded use of additive manufacturing in medical research and professional education.


Stratasys’ new dental anatomical model preset. Photo via Stratasys.

3D Printing Enables Realistic Anatomical Models for Medical Training

3D printing significantly enhances anatomical realism by building models directly from medical imaging data, capturing complex geometries and internal structures that conventional methods cannot replicate.

Adoption across the industry highlights how this capability is applied in education and research. At Masaryk University, a free online 3D anatomy portal provides downloadable 3D models of bones and organs that educators and clinicians can print for teaching and surgical simulation, with each model verified for anatomical accuracy. In Europe, Stratasys’ Digital Anatomy technology is being used to produce 3D printed eye and eyelid models for surgical training, including detailed layers of skin, muscle, and fat that mimic the feel and behavior of delicate tissues.

Despite these benefits, 3D printed models have limitations. No currently available material fully replicates the mechanical behavior of all human tissues, and high-fidelity multi-material systems remain expensive, which can restrict access for smaller training centers. Producing patient-specific models also requires high-quality imaging and technical expertise in segmentation and digital preparation, adding time and complexity to the workflow.

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Author: Paloma Duran

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