Artificial intelligence-designed single molar dental prostheses: A protocol of prospective experimental study.

Area of Science:

• Biomaterials Science
• Artificial Intelligence in Dentistry
• Digital Dentistry

Background:

• Dental prostheses aim to restore natural tooth appearance and function.
• Individual tooth morphology and position are genetically and environmentally determined.
• Artificial intelligence (AI) is hypothesized to automate single-tooth prosthesis design.

Purpose of the Study:

• To train and validate an AI system for designing single molar dental prostheses.
• To investigate the potential of AI in creating biomimetic dental restorations.
• To automate the process of replicating natural tooth morphology and 3D position.

Main Methods:

• Collection and digitization of maxillary and mandibular teeth models from at least 250 volunteers.
• Training a 3D Generative Adversarial Network (GAN) using 200+ training sets of natural and processed teeth models.
• Validation of AI-generated molars by comparing their morphology and 3D position to original natural teeth.

Main Results:

• The study protocol outlines the training and validation process for an AI system.
• The AI system will generate single molar prostheses based on learned features of the dentition.
• Comparison of AI-generated teeth with natural teeth will assess the accuracy of the AI model.

Conclusions:

• AI holds promise for automating the design of patient-specific dental prostheses.
• The developed AI system aims to achieve biomimetic replication of natural tooth morphology and position.
• This research could advance digital dentistry and improve patient outcomes for tooth replacement.