Abstract: A system includes a first device having a non-transitory storage medium and at least one processor communicatively coupled to the non-transitory storage medium. The at least one processor is configured to receive a first set of images from a second device, each image of the first set of images including a skin condition of a patient. The at least one processor is further configured to generate a three-dimensional mesh of the skin condition based on the first set of images. The at least one processor is further configured to semantically segment boundaries of the skin condition in at least one image of the first set of images. The at least one processor is further configured to map the segmented boundaries to the three-dimensional mesh. The at least one processor is further configured to determine a depth and a volume of the skin condition based on the three-dimensional mesh.

Abstract: Data, images and video characterizing mammalian skin damage conditions are collected and analyzed in part using a mobile device as a data collection engine at the point of care. The device establishes communications with a server where the information is stored in a database. The server has an image analysis component applying image processing and analysis techniques, the results of which are reported to the initial data collection engine and made available at a central web portal where users can view the data as well as trends in the data. The central web portal is equipped with a billing unit and portal by which users can generate reimbursement requests. The system has a predictive analysis component that produces predictions based on the data in the database, and predicts the probable progress of the skin damage condition. The predictive analysis is also available to users of the central web portal.