A computer-implemented method comprising: receiving, via at least one processor, a set of image frames, wherein at least a subset of the set of image frames depicts an inside surface of a digestive organ of a given patient; and automatically assigning, via the at least one processor, a first score to each image frame of the set of image frames, wherein the first score corresponds to an informativeness of the image frame with respect to a likelihood of the image frame depicting presence or absence of a given feature on the inside surface of the digestive organ; automatically assigning, via the at least one processor, a second score to each image frame that has the first score within a specified range, wherein the second score corresponds to a severity of the given feature; and characterised by automatically arranging, via the at least one processor, the set of image frames according to at least one of the first score or the second score, wherein the method further comprises: parsing metadata from each image frame of the set of image frames, wherein the metadata comprises at least one of a timestamp, a position, a relative position within the digestive organ, and at least one image property; and based at least in part on the metadata, automatically selecting, by the at least one processor, at least one of the image frames from the set of image frames, wherein the selecting further comprises, for a given image frame: automatically determining, by the at least one processor, whether a relative proximity of the given image frame to another image frame falls below a predetermined proximity threshold based on a difference in time, position, or relative position within the digestive organ; and based on the determining, automatically removing, by the at least one processor, the given image frame from the set of image frames. receiving, via at least one processor, a set of image frames, wherein at least a subset of the set of image frames depicts an inside surface of a digestive organ of a given patient; and automatically assigning, via the at least one processor, a first score to each image frame of the set of image frames, wherein the first score corresponds to an informativeness of the image frame with respect to a likelihood of the image frame depicting presence or absence of a given feature on the inside surface of the digestive organ; automatically assigning, via the at least one processor, a second score to each image frame that has the first score within a specified range, wherein the second score corresponds to a severity of the given feature; and characterised by automatically arranging, via the at least one processor, the set of image frames according to at least one of the first score or the second score, wherein the method further comprises: parsing metadata from each image frame of the set of image frames, wherein the metadata comprises at least one of a timestamp, a position, a relative position within the digestive organ, and at least one image property; and based at least in part on the metadata, automatically selecting, by the at least one processor, at least one of the image frames from the set of image frames, wherein the selecting further comprises, for a given image frame: automatically determining, by the at least one processor, whether a relative proximity of the given image frame to another image frame falls below a predetermined proximity threshold based on a difference in time, position, or relative position within the digestive organ; and based on the determining, automatically removing, by the at least one processor, the given image frame from the set of image frames. parsing metadata from each image frame of the set of image frames, wherein the metadata comprises at least one of a timestamp, a position, a relative position within the digestive organ, and at least one image property; and based at least in part on the metadata, automatically selecting, by the at least one processor, at least one of the image frames from the set of image frames, wherein the selecting further comprises, for a given image frame: automatically determining, by the at least one processor, whether a relative proximity of the given image frame to another image frame falls below a predetermined proximity threshold based on a difference in time, position, or relative position within the digestive organ; and based on the determining, automatically removing, by the at least one processor, the given image frame from the set of image frames. automatically determining, by the at least one processor, whether a relative proximity of the given image frame to another image frame falls below a predetermined proximity threshold based on a difference in time, position, or relative position within the digestive organ; and based on the determining, automatically removing, by the at least one processor, the given image frame from the set of image frames.