Technologies for gingivitis detection and periodontal pocket depth assessment

A method for generating training data for a device configured to detect and display an indication of a gingivitis condition of a diagnostic subject's oral cavity via a digital representation of the diagnostic subject's oral cavity, the method performed by at least one computer processing device, the method comprising:

• receiving scan data of a test subject's oral cavity;
• indicating one or more teeth in the test subject's oral cavity based, at least in part, on the scan data;
• indicating a plurality of assessment locations, based at least in part, on the scan data, each of the plurality of assessment locations proximate to a tooth of the one or more teeth;
• generating a plurality of calibration images from the scan data, each of the plurality of calibration images including at least one assessment location of the plurality of assessment locations and at least one set of one or more data channels, each of the at least one set of one or more data channels comprising color data and topological information associated with the at least one assessment location;
• receiving a respective predetermined modified gingival index (MGI) for each of the plurality of calibration images;
• associating each of the respective predetermined MGI with each of the calibration images and each of the at least one set of one or more data channels to form an MGI calibration data set for one or more machine-learning algorithms;
• and
• storing the MGI calibration data set into a memory of the computer processing device.

A non-transitory computer readable medium having instructions stored thereon, the instructions causing at least one processor of an imaging analysis device to perform one or more operations, the imaging analysis device being in communication with a display device, the one or more operations comprising at least:

• receiving scan data of a subject's oral cavity;
• executing a segmentation process, comprising:
• identifying one or more teeth in the oral cavity based, at least in part, on the scan data;
• identifying gingival tissue corresponding to the one or more identified teeth based, at least in part, on the scan data;
• and
• identifying a first assessment location of the identified gingival tissue, based at least in part, on the scan data;
• generating a first image from the scan data, the first image including at least the first assessment location and one or more first data channels, the one or more first data channels comprising color data and topological information corresponding to the first assessment location;
• determining, via one or more machine-learning algorithms, a first modified gingival index (MGI) value for the first assessment location based, at least in part, on the first image and the one or more first data channels;
• and
• providing an indication of the first MGI value in a visually interpretable format via a digital representation of at least a part of the oral cavity on the display device.

A processing device configured for detection and display of an indication of a gingivitis condition of a subject's oral cavity via a digital representation of the oral cavity, the device comprising:

• a means for receiving scan data of the oral cavity;
• a means for executing a segmentation process, comprising:
• a means for identifying one or more teeth in the oral cavity based, at least in part, on the scan data;
• a means for identifying gingival tissue corresponding to the one or more identified teeth based, at least in part, on the scan data;
• and
• a means for identifying a first assessment location of the identified gingival tissue, based at least in part, on the scan data;
• a means for generating a first image from the scan data, the first image including at least the first assessment location and one or more first data channels, the one or more first data channels comprising color data and topological information corresponding to the first assessment location;
• a means for determining a first modified gingival index (MGI) value for the first assessment location based, at least in part, on the first image and the one or more first data channels;
• and
• a means for indicating of the first MGI value in a visually interpretable format via the digital representation of at least a part of the oral cavity.