Methods and systems for employing artificial intelligence in automated orthodontic diagnosis and treatment planning

摘要

A method for treating an orthodontic condition can include receiving patient data, such as through a website, accessing a database having information derived from patient treatments, generating a model of an orthodontic condition defining one or more anatomic features of a set of teeth, identifying a diagnosis of an orthodontic condition and identifying a treatment regimen for the diagnosis. A method can include tagging an anatomic feature with an electronic identifier and automatically generating a tooth setup. A system can include a server and a database, which can include information relating to patient treatments, and a website for receiving patient data. A system can include an electronic model representing anatomic features of a patient's teeth and an application adapted to identify a diagnosis and a treatment regimen for an orthodontic condition, which can include executing artificial intelligence and/or other algorithms.

主权项

1. A method for delivering a diagnosis and identification of a treatment for an orthodontic condition, comprising:
providing a graphical user interface that prompts a user for electronic patient data regarding the orthodontic condition; providing access, through the graphical user interface, to a database that comprises or has access to information derived from patient treatments, the information derived from patient treatments including an electronically stored data set for each patient treatment, wherein each data set includes data that represents at least one of (a) a location and position of one or more teeth subject of a corresponding patient treatment and (b) a previously diagnosed orthodontic condition for the corresponding patient treatment; comparing coordinates that represent at least two anatomic features of a set of teeth to at least a portion of the information derived from patient treatments accessible via the database; identifying a best fit data set that represents a statistical or prioritized best fit for the coordinates; identifying at least one diagnosis of the orthodontic condition by prioritizing at least a portion of the data from a plurality of the data sets; and delivering an electronic treatment model of the orthodontic condition that provides to the user one or more of (a) a diagnosis, (b) the diagnosis along with a probability value representing a likelihood the diagnosis is accurate, and (c) a plurality of diagnoses along with a plurality of probability values.