Abstract: Technologies are disclosed for detection and display of an indication of a gingivitis condition and/or a periodontal pocket assessment of a subject's oral cavity via a digital representation of the oral cavity. Using scan data of the oral cavity, one or more teeth in the oral cavity may be indicated. A first assessment location proximate to a first tooth of the one or more teeth may be indicated. A first image may be generated that may include the first assessment location and one or more first data channels. The one or more first data channels may comprise color data and topological information corresponding to the first assessment location. Using one or more machine-learning algorithms, a modified gingival index (MGI) value and/or a periodontal pocket depth assessment may be determined and displayed for the first assessment location based on the first image and the one or more first data channels.

Abstract: Disclosed is a system and method for presenting a graphical representation of an oral situation of a patient over time. In particular the system and method relates to a method of presenting a plurality of scans taken over time in manner where the focus on the changes in the oral situation of the patient is maintained.