Abstract: Provided is a method performed by an apparatus for reading a shoulder disorder, the method including acquiring medical data including a shoulder image; preprocessing the acquired medical data; inputting the preprocessed medical data into a pre-trained neural network model to read a tear state of a rotator cuff; and generating result information on the medical data based on the read tear state of the rotator cuff.

Abstract: Provided is 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 including: acquiring one or more pieces of suggested information related to provision of the patient-customized body model or the patient-customized medical device; providing the one or more pieces of suggested information to a user; receiving response information regarding the one or more pieces of suggested information from the user; and upon receiving a modification request for at least a part of the one or more pieces of suggested information as the response information, initiating a process for modifying the at least a part of the one or more pieces of suggested information.

Abstract: Provided is a combined guidance for reaming and cutting, including: a reamer guidance configured to guide reaming of a humerus; a first humeral guidance press-fitted with the reamer guidance and having a surface tailored to a humerus head; a second humeral guidance having a surface tailored to an intertubercular groove of the humerus head; and a cutting guidance mutually coupled to the reamer guidance, the first humeral guidance, and the second humeral guidance.

Abstract: The present disclosure relates to a method for three-dimensionally modeling an organ through image segmentation. The three-dimensional modeling of an organ includes the operations of: receiving one or more pieces of medical image data for a specific bodily organ of a target object; setting a region of interest with respect to the bodily organ based on the one or more pieces of medical image data; forming one or more blocks corresponding to the region of interest, wherein the blocks include a portion of the bodily organ corresponding to the regions of interest; setting a segment algorithm for each of the blocks; generating first image data respectively performing 3D modeling of portions contained in the blocks based on algorithms set to the blocks; and merging the first image data, and generating a three-dimensional section image data with respect to the entire bodily organ.

Abstract: The present disclosure relates to a method for modeling a personalized breast implant including the operations of: obtaining medical image data and body scan data; obtaining first image data by 3D modeling the medical image data; obtaining second image data by 3D modeling the body scan data; creating third image data by merging the first image data and the second image data; and creating breast implant appearance information on the basis of the third image data.

Abstract: Provided is a method of designing an implant and a guidance specific to a patient, and a program and apparatus therefor. The method includes: specifying a first skeletal image of a skeleton of a patient in which an affected region to which an implant is to be implanted is located; specifying a second skeletal image of another region skeleton including the implant; calculating a number of at least one implant matching the first skeletal image; cutting the second skeletal image according to the calculated number of implants such that the at least one implant matches the first skeletal image, and displaying the cut second skeletal image; and displaying the cut at least one implant to be overlaid on the first skeletal image.

Abstract: Provided is a method of designing a guidance specific to a patient, including: specifying a first skeletal image plane in which a base plate is to be installed on a skeleton of a patient in which an affected area is located; displaying a normal vector N of the first skeletal image plane together with the skeleton of the patient in three dimensions (3D); displaying an intersection of the normal vector and the first skeletal image plane such that an operator arbitrarily moves the intersection or rotates the normal vector based on the intersection to determine a direction of a center pin; displaying a screen in which the base plate is installed according to a position (a center point) and direction of the center pin determined by the operator; and calculating a rotation angle and depth of peripheral screws to be installed on the base plate.

Abstract: Disclosed are a method for designing a patient-specific implant and guidance, and a program and apparatus therefor. According to the design method of the present disclosure, an area to be cut is defined in a first skeleton image of a patient's skeleton where an affected area is positioned, and an area to be implanted is defined in a second skeleton image of a skeleton of the other area including a graft material.

Abstract: Provided is 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 including: acquiring one or more pieces of suggested information related to provision of the patient-customized body model or the patient-customized medical device; providing the one or more pieces of suggested information to a user; receiving response information regarding the one or more pieces of suggested information from the user; and upon receiving a modification request for at least a part of the one or more pieces of suggested information as the response information, initiating a process for modifying the at least a part of the one or more pieces of suggested information.

Abstract: Provided is a method performed by an apparatus for reading a shoulder disorder, the method including acquiring medical data including a shoulder image; preprocessing the acquired medical data; inputting the preprocessed medical data into a pre-trained neural network model to read a tear state of a rotator cuff; and generating result information on the medical data based on the read tear state of the rotator cuff.