Infrastructure selection for medical applications

A non-transitory computer readable medium comprising instructions that, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising:

• receiving one or more patient case details of a patient;
• receiving one or more images of a dentition of the patient;
• selecting a machine learning model infrastructure from a plurality of machine learning model infrastructures based at least in part on the one or more patient case details;
• processing the one or more images using one or more trained machine learning models of the selected machine learning model infrastructure, wherein the one or more trained machine learning models output dental treatment information for the patient;
• and
• sending the dental treatment information to a remote computing device.

A method comprising:

• receiving one or more patient case details of a patient;
• receiving one or more images of a dentition of the patient;
• selecting an infrastructure from a plurality of infrastructures based at least in part on the one or more patient case details;
• processing the one or more images using one or more models of the selected machine infrastructure, wherein the one or more models output dental treatment information for the patient;
• and
• sending the dental treatment information to a remote computing device.