Abstract: The present invention relates to an apparatus for simulating medical procedure performing cervical artificial disc surgery and a method thereof, for simulating the movement of the cervical artificial disc, when estimating a plurality of landmarks for a cervical artificial disc to be operated, generating an available space into which the cervical artificial disc is to be inserted by using the estimated landmarks, designing the cervical artificial disc model in the generated available space, and applying the designed cervical artificial disc model to a corresponding disc, prior to performing medical procedure of the cervical artificial disc surgery.

Abstract: The present disclosure relates to a cervical artificial disc and a method of constructing the same, and to the cervical artificial disc and the method, in which an available space into which the cervical artificial disc is to be inserted is modeled by designating a plurality of landmarks, and the cervical artificial disc is designed based on the available space modeling, when designing the cervical artificial disc for a patient who requires cervical artificial disc replacement surgery.

Abstract: The present invention relates to a device for modeling cervical artificial disc based on artificial intelligence and a method thereof, comprising generating and outputting a model of a target cervical artificial disc, by generating a learning model to estimate positions of a plurality of landmarks through training various shapes of medical images with the plurality of landmarks assigned to define an available space in which the cervical artificial disc is located, estimating the plurality of landmarks by inputting input data generated from a medical image of the available space in which the target cervical artificial disc is to be positioned into the generated learning model, generating the available space for inserting the target cervical artificial disc based on estimated landmarks, and extracting and incorporating shape information for surfaces and edges of the cervical artificial disc from the medical image in the generated available space.

Abstract: The present invention relates to a method and system for assessing bone age using deep neural network, more specifically, in which regions of interest (ROIs) even for rotated objects can be more precisely and accurately extracted from an image by a rotated object detection technique used in region proposal networks. Thereby bones with different angles in the image can be detected with excellent speed and accuracy.

Abstract: The present invention relates to a method and system for assessing bone age using deep neural network, more specifically, in which regions of interest (ROIs) even for rotated objects can be more precisely and accurately extracted from an image by a rotated object detection technique used in region proposal networks. Thereby bones with different angles in the image can be detected with excellent speed and accuracy.