Method and system for providing dynamic orthodontic assessment and treatment profiles

1. A method of generating proposed orthodontic treatments, comprising:

scanning, with an intraoral scanner, a patient's teeth to collect data for a three-dimensional model of the patient's teeth;

receiving the three-dimensional model of the patient's teeth;

clustering, by a data driven analyzer, patient histories based on parameters associated with orthodontic conditions of the patient in the patient histories into a plurality of clusters, comprising at least a first cluster and a second cluster, wherein the data driven analyzer is trained by patient history data to identify statistically significant patterns of different treatment outcomes;

determining, by the data driven analyzer, probability models of risks for the first cluster and the second cluster;

identifying, by the data driven analyzer, pre-treatment variables associated with probability models of risks for the first cluster and the second cluster; and

providing feedback for orthodontic treatment of the patient's teeth based on the identified pre-treatment variables factors and the three-dimensional model of the patient's teeth acquired through scanning of the patient's teeth, wherein the feedback comprises a visual comparison of the three-dimensional model of the patient's teeth with a reference three-dimensional model.

2. The method of claim 1 , wherein the parameters include one or more of patient diagnosis, treatment outcome, and patient demographic.

3. The method of claim 1 , wherein the identified factors include one or more of treatment approach, appliance design, or manufacturing protocol.

4. The method of claim 1 , wherein providing the feedback based on the identified factors includes providing a suggested treatment approach, appliance design, or manufacturing protocol.

5. The method of claim 1 , further comprising:

clustering clinicians based on clinician treatment history; and

identifying clinician preferences based on the clustering of clinicians;

wherein the providing feedback is based on the identified factors and the identified clinician preferences.

6. The method of claim 5 , further comprising:

receiving one or more parameters associated with an orthodontic condition of the patient;

mapping the one or more parameters against clustered data of prior completed orthodontic treatment cases;

providing a plurality of treatment goals associated with the orthodontic condition based on the mapping the one or more parameters against the clustered data of the prior completed orthodontic treatment cases;

receiving a selection of a treatment goal from the plurality of treatment goals to treat the orthodontic condition.

7. The method of claim 6 , further comprising:

generating a treatment plan based on the selected treatment goal and the provided feedback; and

providing the treatment plan to a dental professional for review.

8. The method of claim 7 , further comprising:

receiving approval of the treatment plan; and

fabricating aligners based on the approved treatment plan.

9. The method of claim 6 , wherein receiving the one or more parameters associated with the orthodontic condition includes:

receiving a digital representation of the patient's teeth.

10. The method of claim 9 , wherein receiving the one or more parameters includes:

characterizing malocclusion characteristics of the patient's teeth based on the digital representation of the patient's teeth.

11. The method of claim 10 , wherein the mapping the one or more parameters against the clustered data of the prior completed orthodontic treatment cases includes mapping the malocclusion characteristic of the patient's teeth against the clustered data of the prior completed orthodontic treatment cases.

12. The method of claim 7 , wherein the clustered data of the prior completed orthodontic treatment cases include clusters of treatment outcomes having similar pre-treatment parameters.

13. The method of claim 1 , further comprising generating aligners for orthodontic treatment of the patient's teeth.

14. A system of datamining to generate proposed treatments, comprising:

a processor;

an intraoral scanner configured to scan a patient's teeth to collect data for a three-dimensional model of the patient's teeth;

a memory comprising instructions that when executed by the processor cause the system to:

receive the three-dimensional model of the patient's teeth;

cluster, by a data driven analyzer, patient histories based on parameters associated with orthodontic conditions of the patient in the patient histories into a plurality of clusters, comprising at least a first cluster and a second cluster, wherein the data driven analyzer is trained by patient history data to identify statistically significant patterns of different treatment outcomes;

determine, by the data driven analyzer, probability models of risks for the first cluster and the second cluster; and

provide feedback for orthodontic treatment of the patient's teeth based on the identified pre-treatment variable and the three-dimensional model of the patient's teeth acquired through scanning of the patient's teeth, wherein the feedback comprises a visual comparison of the three-dimensional model of the patient's teeth with a reference three-dimensional model.

15. The system of claim 14 , wherein the parameters include one or more of patient diagnosis, treatment outcome, and patient demographic.

16. The system of claim 14 , wherein the identified factors include one or more of treatment approach, appliance design, or manufacturing protocol.

17. The system of claim 14 , wherein the instructions to provide the feedback based on the identified factors include instructions to provide a suggested treatment approach, appliance design, or manufacturing protocol.

18. The system of claim 14 , wherein the memory further comprises instructions that when executed by the processor, cause the system to:

cluster clinicians based on clinician treatment history; and

identify clinician preferences based on the cluster of clinicians;

wherein the provided feedback is based on the identified factors and the identified clinician preferences.

19. The system of claim 18 , wherein the memory further comprises instructions that when executed by the processor, cause the system to:

receive one or more parameters associated with an orthodontic condition of the patient;

map the one or more parameters against clustered data of prior completed orthodontic treatment cases;

provide a plurality of treatment goals associated with the orthodontic condition based on the mapping the one or more parameters against the clustered data of the prior completed orthodontic treatment cases; and

receive a selection of a treatment goal from the plurality of treatment goals to treat the orthodontic condition.

20. The system of claim 19 , wherein the memory further comprises instructions that when executed by the processor, cause the system to:

generate a treatment plan based on the selected treatment goal and the provided feedback; and

provide the treatment plan to a dental professional for review.

21. The system of claim 20 , wherein the memory further comprises instructions that when executed by the processor, cause the system to:

receive approval of the treatment plan; and

fabricate aligners based on the approved treatment plan.

22. The system of claim 14 , wherein the identified factors comprise differences in treatment approach, appliance design, or manufacturing protocol.

23. The system of claim 14 , wherein providing the feedback based on the identified factors includes providing a suggested treatment approach, appliance design, or manufacturing protocol.