AIMC Topic: Palate

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Human identification via digital palatal scans: a machine learning validation pilot study.

BMC oral health
BACKGROUND: This study aims to validate a machine learning algorithm previously developed in a training population on a different randomly chosen population (i.e., test set). The discrimination potential of the palatal intraoral scan-based geometric ...

Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer.

BMC medical informatics and decision making
BACKGROUND: Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, and the diagnosis was validated...

Exploring palatal and dental shape variation with 3D shape analysis and geometric deep learning.

Orthodontics & craniofacial research
OBJECTIVES: Palatal shape contains a lot of information that is of clinical interest. Moreover, palatal shape analysis can be used to guide or evaluate orthodontic treatments. A statistical shape model (SSM) is a tool that, by means of dimensionality...

Automated landmarking for palatal shape analysis using geometric deep learning.

Orthodontics & craniofacial research
OBJECTIVES: To develop and evaluate a geometric deep-learning network to automatically place seven palatal landmarks on digitized maxillary dental casts.

Utilization of a robotic mount to determine the force required to cut palatal tissue.

Journal of the mechanical behavior of biomedical materials
Determination of the material properties of soft tissue is a growing area of interest that aids in the development of new surgical tools and surgical simulators. This study first aims to develop a robot-operated tissue testing system for determinatio...