Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: Systems and methods for transferring multi-frame data to remote computing entities. Systems including dedicated communications for multi-frame data and other data, and data transfer methods. An example computer-implemented method includes receiving, at an agent module positioned at a primary location, multi-frame medical image data over an intranet data connection from an image acquisition device also positioned at the primary location, compressing at the agent module the multi-frame medical image data, sending the compressed data from the agent module to a server over a first data transmission via an Internet data connection, storing the compressed data at the server, sending the compressed data to a user terminal device, and receiving medical data at the server from one or more computing devices positioned at the primary location over a second data transmission via the Internet data connection.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.