ArticleJournal of prosthodontics : official journal of the American College of Prosthodontists2026
Scanner-agnostic dynamic jaw motion generation from virtual static excursive records using open-source Python-based artificial intelligence (AI) interpolation.
Article in Journal of prosthodontics : official journal of the American College of Prosthodontists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Comparative Analysis of Mandibular Kinematics Recorded with Zebris JMA and Medit i700 Using an Open-Source 3D Model-Based Framework.Dentistry journal · 2026Article
- Article
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Authors and funding
4 authors.
Funding
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Abstract
This technique describes a scanner-agnostic digital workflow for generating dynamic mandibular motion from static virtual interocclusal records using a custom artificial intelligence (AI) algorithm and user interface. Virtual records of mandibular positions, including maximum intercuspation, protrusion, and lateral excursions, were captured with an intraoral scanner and processed through a custom interface developed using Python, an open-source, script-based programming language. The program interpolates intermediate positions using quantified point tracking and exports a motion path file compatible with dental computer-aided design software. By leveraging AI and open-source tools, this method offers a cost-effective, non-vendor-specific solution for integrating individualized jaw motion into digital prosthodontic workflows.
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Registered trials
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