Work

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

Year: 2025

Type: article

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.

Source: Journal of Prosthodontics

DOI: 10.1111/jopr.70051

Authors: Mohamed Sherif Omar, Chao‐Chieh Yang, Dean Morton, Wei‐Shao Lin

Institutions: Indiana University Indianapolis, Indiana University – Purdue University Indianapolis, Indiana University

Language: English

Topic: Dental materials and restorations

Subfield: Orthodontics

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $4,100