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AI revolutionizes and improves the manufacturing of dental crowns.

Reference number
Coordinator Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Fysik
Funding from Vinnova SEK 1 680 773
Project duration November 2023 - December 2024
Status Completed
Venture Advanced digitalization - Enabling technologies
Call AI for advanced digitalization, 2

Important results from the project

The project developed an AI solution for automated dental crown manufacturing, laying the foundation for future innovations. Several goals were achieved: a database of scanned jaws was created and utilized, real-world testing was conducted, and collaboration between academia and industry was strengthened. Initial steps were taken for an analytics platform, and significant progress was made in dental crown manufacturing with promising results. The project has opene possibilities in medical AI.

Expected long term effects

The project is expected to revolutionize dentistry through AI-based dental crown manufacturing, increasing access to high-quality care, especially in remote areas, and reducing costs for patients and society. The method could expand to other medical areas like hip and knee prostheses. It also strengthens Sweden’s innovation capacity and export opportunities in biomedical engineering, offering significant economic and environmental benefits.

Approach and implementation

The project followed the plan, focusing on AI development for automated dental crown manufacturing, including data collection, AI modeling, and an analytics platform. Collaboration between academia and industry was successful. While rejected funding for follow-up impacted future development, core objectives were met. This work was supported by NAISS resources under Project ID NAISS 2023/22-1233. The authors thank SNIC for computational resources and technical support provided by Alvis.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 14 February 2025

Reference number 2023-02696