# Scanner‐agnostic dynamic jaw motion generation from virtual static excursive records using open‐source Python‐based artificial intelligence (AI) interpolation

## TL;DR

This paper introduces a cost-effective, open-source method to generate jaw motion from static dental records using AI.

## Contribution

A novel AI-driven, open-source digital workflow for scanner-agnostic dynamic jaw motion generation.

## Key findings

- A custom Python-based AI algorithm interpolates mandibular motion from static records.
- The method produces motion paths compatible with dental CAD software.
- It provides a non-vendor-specific solution for prosthodontic workflows.

## 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.