The invention relates to the technical field of orthodontic
abnormality diagnosis, in particular to an orthodontic
abnormality diagnosis intelligent prompt
system based on
deep learning, which comprises a multi-
modal data acquisition module used for transmitting a patient ID (Identity) through an API (Application Program Interface), automatically importing image data, image data, facial three-dimensional data and
dentition three-dimensional data of a patient, and transmitting the image data to the multi-
modal data acquisition module; meanwhile,
medical record text information is obtained in real time through an EMR interface; according to the method, collected data are diversified in form and comprehensive in content, anatomical structure information is provided for patient photos,
skull side position X-rays, CBCT, 3dMD, IOS,
medical record reports, image data, image data, three-dimensional data and the like, symptom description and
medical history are supplemented through text data, multi-person data fusion is achieved, potential association which is difficult to discover through single-mode data can be captured, facial features of a patient are comprehensively evaluated, and the method is suitable for clinical application. The comprehensiveness and the accuracy of diagnosis are improved, more abundant diagnosis basis can be provided for complex mismatching
deformity and multi-
modal data fusion, and
missed diagnosis and misdiagnosis are reduced.