Patent attributes
Disclosed are implementations that include a clinical data analysis method including obtaining dental data that includes input radiographic image data for at least one dental object, and identifying, by machine learning models, a first dental feature in the input radiographic image data for the at least one dental object, and at least one other feature in the dental object comprising at least partly a healthy dental structure. The method additionally includes computing at least one dimensioned property representative of physical dimensions of the first dental feature and the at least one other feature, deriving, based on the computed at least one dimensioned property, a ratio indicative of an extent of a dental clinical condition associated with the identified first dental feature, and determining a treatment plan based on a comparison of the at least one dimensioned property ratio to a respective threshold value.
