A computing system (110, 1010) for processing ultrasound images, the computing system comprising: a communication interface configured to receive an ultrasound image that includes image data representing subdermal tissue; at least one processing circuit (111, 1011) configured to: apply a trained neural network to the ultrasound image to generate at least one pliability parameter value which indicates pliability of the subdermal tissue, wherein the trained neural network has been trained with ultrasound images which have been defined as representing healthy subdermal tissue, and with ultrasound images which have been defined as representing damaged subdermal tissue, and by providing pliability scores associated with the ultrasound images; apply the trained neural network to the ultrasound image to generate an indication of whether any entrapped nerve is present in the subdermal tissue represented by the ultrasound image, wherein the trained neural network has been trained based on ultrasound images and on information that indicates whether a patient is experiencing pain in a location; and a display device configured to output the at least one pliability parameter value and the indication of whether any entrapped nerve is present in the subdermal tissue represented by the ultrasound image. a communication interface configured to receive an ultrasound image that includes image data representing subdermal tissue; at least one processing circuit (111, 1011) configured to: apply a trained neural network to the ultrasound image to generate at least one pliability parameter value which indicates pliability of the subdermal tissue, wherein the trained neural network has been trained with ultrasound images which have been defined as representing healthy subdermal tissue, and with ultrasound images which have been defined as representing damaged subdermal tissue, and by providing pliability scores associated with the ultrasound images; apply the trained neural network to the ultrasound image to generate an indication of whether any entrapped nerve is present in the subdermal tissue represented by the ultrasound image, wherein the trained neural network has been trained based on ultrasound images and on information that indicates whether a patient is experiencing pain in a location; and apply a trained neural network to the ultrasound image to generate at least one pliability parameter value which indicates pliability of the subdermal tissue, wherein the trained neural network has been trained with ultrasound images which have been defined as representing healthy subdermal tissue, and with ultrasound images which have been defined as representing damaged subdermal tissue, and by providing pliability scores associated with the ultrasound images; apply the trained neural network to the ultrasound image to generate an indication of whether any entrapped nerve is present in the subdermal tissue represented by the ultrasound image, wherein the trained neural network has been trained based on ultrasound images and on information that indicates whether a patient is experiencing pain in a location; and a display device configured to output the at least one pliability parameter value and the indication of whether any entrapped nerve is present in the subdermal tissue represented by the ultrasound image.