Abstract:

Machine learning, as a core branch of artificial intelligence, has gradually demonstrated significant potential in the field of dentition defect repair in recent years. By employing techniques such as data mining and pattern recognition, machine learning has been applied in various aspects including oral implant restoration, fixed bridge design, and fabrication of removable partial dentures. This paper seeks to provide a comprehensive review of machine learning applications within the aforementioned three aspects. It endeavors to assess the current developmental landscape and chart a course for future investigative endeavors, in hopes of offering a reference for research on machine learning in prosthodontics.

Key words: machine learning, artificial intelligence, prothodontics, dental defect