Machine learning systems and methods for assessment, healing prediction, and treatment of wounds

A system for assessing or predicting wound healing, the system comprising:

• at least one light detection element configured to collect light of at least a first wavelength after being reflected from a tissue region comprising a wound or portion thereof;
• and
• one or more processors in communication with the at least one light detection element and configured to:
• receive a signal from the at least one light detection element, the signal representing light of the first wavelength reflected from the tissue region;
• generate, based on the signal, an image having a plurality of pixels depicting the tissue region;
• determine, based on the signal, a reflectance intensity value at the first wavelength for each pixel of at least a subset of the plurality of pixels;
• determine one or more quantitative features of the subset of the plurality of pixels based on the reflectance intensity values of each pixel of the subset;
• and
• generate, using one or more machine learning algorithms, at least one scalar value based on the one or more quantitative features of the subset of the plurality of pixels, the at least one scalar value corresponding to a predicted amount of healing of the wound or portion thereof over a predetermined time interval following generation of the image.