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

delete2025-11-01
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OA
AI
M
M. Omar
C
Chao‐Chieh Yang
D
Dean Morton
W
Wei‐Shao Lin *
DOI:10.1111/jopr.70051delete
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摘要

摘要

En 中文
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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期刊

J
Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry
IF:
3.6
论文数:
2.4K
被引数:
6.7K

机构

I
Indiana University Indianapolis
学者数:
7.3K
论文数: 5.4K
被引数: 473
I
indiana university system
学者数:
4.0W
论文数: 3.5W
被引数: 38
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