Abstract: The present disclosure relates generally to medical imaging, and more specifically to machine-learning techniques to generate enhanced fluorescence images of a subject (e.g., to aid a surgery, to aid diagnosis and treatment of diseases). The system can receive a visible-light image of the subject; identify a background area in the visible-light image by providing the visible-light image to one or more trained machine-learning models; and enhance the fluorescence medical image by suppressing a plurality of pixels in the fluorescence medical image that correspond to the identified background area in the visible-light image relative to the rest of the pixels in the fluorescence medical image.

Abstract: Described herein are systems, methods, and programming for generating medical reports describing medical procedures. The draft medical report may include auto-generated content describing a medical procedure, where the auto-generated content may include one or more auto-generated images selected based on medical report criteria. The draft medical report may be generated and a user selection of at least one of the auto-generated images may be received. The draft medical report may be updated based on the user selection.