Abstract: Systems and methods for forming eruption compensation (EC) features in dental appliances for accommodating erupting teeth. An EC feature may be oversized compared to a predicted geometry of an erupting tooth, thereby allowing natural eruption of the tooth when a subject wears the dental appliance. The size, shape, location and/or orientation of the EC feature may be determined based on a virtual EC region in a virtual dental model of the subject's teeth. Dimensions of the virtual EC region may be calculated using a scaling process applied to the predicted geometry of the erupting tooth. In some cases an asymmetric scaling may be used to provide a prescribed larger lingual or buccal side of the EC region to accommodate an ectopically erupting tooth.

Abstract: Apparatuses and methods for assessing a dental x-ray image and predicting tooth eruption and/or exfoliation. The apparatuses may use one or more trained neural networks to assess a patient's x-rays as well as dental measurements determined from the patient's x-rays to predict approximately when a permanent tooth may erupt to replace a baby tooth. The neural networks may be trained using a data training set of x-ray images and accompanying dental measurement data.