Processing Device, Processing Program, Processing Method, And Processing System

A processing device, comprising:

• an interface configured to communicate with a camera, the camera being configured to capture a plurality of subject images of a subject, the plurality of subject images of the subject including a part of an oral cavity of a user;
• a memory configured to store computer readable instructions, the plurality of subject images, which are obtained via the interface, a trained determination image selection model, and a trained determination model,
• wherein the trained determination image selection model is obtained by performing a first machine leaning on a plurality of learning images having label information to learn a selection pattern for selecting a plurality of determination images from the plurality of subject images, the plurality of learning images including a part of an oral cavity of a plurality of persons, the label information indicating a possibility that an image among the plurality of learning images is used as one of the plurality of determination images, the plurality of determination images being used to determine a possibility indicating whether the user contracts a predetermined disease, and
• wherein the trained determination model is obtained by performing a second machine learning on a plurality of learning determination images having label information to learn a determination pattern of the possibility of contracting the predetermined disease with respect to the plurality of determination images, the label information indicating the possibility of contracting the predetermined disease, the plurality of learning determination images including the part of the oral cavity of the plurality of persons;
• and
• a processor configured to execute the computer readable instructions so as to:
• obtain a plurality of candidate images by inputting the plurality of subject images into the trained determination image selection model, the plurality of candidate images having potential to become the plurality of determination images;
• select the plurality of determination images from the plurality of candidate images based on a predetermined condition;
• determine a possibility of contracting the predetermined disease of the user by inputting the plurality of determination images into the trained determination model to obtain a determination result;
• and
• output the determination result to a display to display the possibility of contracting the predetermined disease of the user.