generate at least one image frame from the acquired echo signals;

determine, via a neural network, a presence and type of an artifact in the at least one image frame from among different types of potential artifacts;

generate an indicator based on the determined presence of the artifact;

cause the indicator to be displayed on a user interface in communication with the processors;

generate an instruction for adjusting the ultrasound transducer based on the determined presence and type of the artifact, wherein the instruction includes a prompt to modify an operating parameter of the ultrasound transducer intended to remove the artifact from the at least one image frame, and wherein the operating parameter comprises a position, an orientation, a focal depth, a beam angle, an imaging modality, or a frequency of the ultrasound transducer; and

wherein the one or more processors are further configured to prepare the at least one image frame for input into the neural network by creating triplicate replications of the at least one image frame such that at least one of a plurality of neural network models can be utilized to determine the presence, an absence, and/or type of an artifact in the at least one image frame; and

wherein the triplicate replications of the at least one image frame includes: (i) a high-signal, low-dynamic range image; (ii) a low-signal, low-dynamic range image; and (iii) a compressed high-dynamic range image with an adaptive histogram equalization.