| CPC G06F 30/20 (2020.01) | 9 Claims |
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1. A method of providing a collaborative service between an operator and a user for design of a patient-customized body model or a patient-customized medical device in an electronic apparatus, the method comprising:
acquiring a first three-dimensional (3D) modeling image of a body part of a target patient;
acquiring a second 3D modeling image of a patient-customized medical device;
overlaying the second 3D modeling image on the first 3D modeling image;
acquiring matching information by calculating a degree of matching of the body part and the patient-customized medical device, based on the overlayed images;
acquiring guidance information that is specific guidance including structure, insertion position, angle, and depth for applying the patient-customized medical device to the body part;
acquiring simulation information that is a simulation result regarding a change that occurs in the body part after the patient-customized medical device is applied to the body part;
providing the overlayed images, along with suggested information, which includes the matching information, the guidance information, and simulation information, to the user;
receiving a modification request related to the patient-customized medical device and the guidance information from the user; and
initiating a process for modifying the patient-customized medical device or the guidance information,
wherein the initiating comprises:
providing a function for transmitting and receiving information between the user and the operator,
wherein the function includes at least one of a function for providing a first interface to the user and a function for providing a second interface to the operator, and the electronic apparatus reflects at least a part of an input of the operator in the first interface in real time and reflects at least a part of an input of the user in the second interface in real time;
acquiring feedback information from the operator, in relation with the modification request; and
performing a machine learning based on the feedback information for one or more parameters included in a neural network model for generating the suggested information in real time.
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