AIMC Topic: Denture Retention
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Anomaly detection of retention loss in fixed partial dentures using resonance frequency analysis and machine learning: An in vitro study.
Journal of prosthodontic research
Feb 22, 2024
PURPOSE: This study aimed to determine the usefulness of machine learning techniques, specifically supervised and unsupervised learning, for assessing the cementation condition between a fixed partial denture (FPD) and its abutment using a resonance ...
An ontology-driven, case-based clinical decision support model for removable partial denture design.
Scientific reports
Jun 14, 2016
We present the initial work toward developing a clinical decision support model for specific design of removable partial dentures (RPDs) in dentistry. We developed an ontological paradigm to represent knowledge of a patient's oral conditions and dent...
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