An ultrasound imaging system for ultrasonically inspecting biological tissue of a recurring patient, the system comprising: an ultrasound probe; and a processor communicatively coupled to the ultrasound probe and to a source of previously-acquired ultrasound image data, wherein the processor is configured to generate a current ultrasound image of the biological tissue of the patient, characterized in that the processor is further configured to: retrieve, from the source of previously-acquired ultrasound image data, previous ultrasound images associated with the patient; provide the current ultrasound image and a plurality of the previous ultrasound images to a neural network, wherein the neural network is trained to determine whether the current ultrasound image and at least one previous ultrasound image correspond to a same imaging plane through the biological tissue of the patient; identify, via the neural network, at least one previous ultrasound image that corresponds to the same imaging plane as the current ultrasound image; adjust one or more imaging parameters of the ultrasound imaging system to correspond to imaging parameter settings associated with the identified previous image; and produce an updated ultrasound image with the adjusted imaging parameters. an ultrasound probe; and a processor communicatively coupled to the ultrasound probe and to a source of previously-acquired ultrasound image data, wherein the processor is configured to generate a current ultrasound image of the biological tissue of the patient, characterized in that the processor is further configured to: retrieve, from the source of previously-acquired ultrasound image data, previous ultrasound images associated with the patient; provide the current ultrasound image and a plurality of the previous ultrasound images to a neural network, wherein the neural network is trained to determine whether the current ultrasound image and at least one previous ultrasound image correspond to a same imaging plane through the biological tissue of the patient; identify, via the neural network, at least one previous ultrasound image that corresponds to the same imaging plane as the current ultrasound image; adjust one or more imaging parameters of the ultrasound imaging system to correspond to imaging parameter settings associated with the identified previous image; and produce an updated ultrasound image with the adjusted imaging parameters. retrieve, from the source of previously-acquired ultrasound image data, previous ultrasound images associated with the patient; provide the current ultrasound image and a plurality of the previous ultrasound images to a neural network, wherein the neural network is trained to determine whether the current ultrasound image and at least one previous ultrasound image correspond to a same imaging plane through the biological tissue of the patient; identify, via the neural network, at least one previous ultrasound image that corresponds to the same imaging plane as the current ultrasound image; adjust one or more imaging parameters of the ultrasound imaging system to correspond to imaging parameter settings associated with the identified previous image; and produce an updated ultrasound image with the adjusted imaging parameters.