Abstract: The present invention relates to an automatic invasive device for body and, more particularly, to an automatic invasive device for body comprising a body press unit capable of pressing a human body part to detect a puncturing position. The present invention also relates to an automatic invasive device for body comprising at least one of a rotatable probe unit, a vacuum tube driving unit, and a body contact material supply unit. The automatic invasive device for body according to the present invention comprises: a syringe needle unit support part that supports a syringe needle that enters the body; and a press unit (500) that presses the body that has a site to be subjected to an invasive procedure.

Abstract: A body-insertion device for a body includes an adjustment unit for adjusting bevel orientation of a needle, and a moving unit for the needle. The moving unit supports a needle unit having the needle, the bevel orientation of which is adjusted by the adjustment unit; adjusts the needle unit to the orientation which is appropriate for body-insertion; and moves the needle unit for body-insertion.

Abstract: The present disclosure provides a body-insertion device for a body, which comprises a first moving unit for moving an image acquisition unit; an insertion unit; and a second moving unit for moving the insertion unit. The first moving unit comprises at least one of a 1-1 module for moving the image acquisition unit in a 1-1 direction, a 1-2 module for moving the image acquisition unit in a 1-2 direction, and a 1-3 module for moving the image acquisition unit in a 1-3 direction. The second moving unit comprises at least one of a 2-1 module for moving the insertion unit in a 2-1 direction, a 2-2 module for moving the insertion unit in a 2-2 direction, and a 2-3 module for moving the insertion unit in a 2-3 direction.

Abstract: The present disclosure provides a computer-implemented method which comprises a first step of obtaining an image data of the body portion from an ultrasound probe; a second step of analyzing the image data by use of machine learning and identifying a target and an evasion object; and a third step of determining the location of a final target, with reference to the information of the identified target and the evasion object. The final target is determined by at least one of a first information relating to the size of the target, a second information relating to the depth of the target, and a third information relating to the existence of an object in the straight path between the target and skin surface.