Abstract: An electronic device includes a processor configured to generate a position movement prediction field indicating prediction of a potential positional change of a branch path by a patient's biological activity for one or more branch paths based on a blood vessel image of a reference frame, correct guidewire information extracted from a blood vessel image of a target frame with respect to a catheter position of the reference frame, and select a branch path to dispose the guidewire information, among one or more branch paths of a blood vessel region based on the position movement prediction field and the corrected guidewire information; and a display configured to visualize the guidewire information on the selected branch path.

Abstract: The present invention is advantageous in that the shape of the catheter can be sensed by detecting the position of bending of the catheter body, the direction thereof, the angle thereof, and the curvature thereof through a triplet calculation of information regarding three wavelengths that have undergone a transition along respective FBGs provided on three optical cores.

Abstract: A stent for anastomosis of different kinds of organs includes a main body, and at least one fixing unit provided in the main body. At least a portion of the main body is inserted into one of different kinds of organs to be anastomosed with each other, and the rest of the main body is inserted into the other of the different kinds of organs. A distance between the different kinds of organs under the anastomosis is maintained by the fixing units.

Abstract: The disclosure purposes to provide an optical coherence tomography (OCT)-based system for diagnosing a high risk lesion such as a vulnerable atheromatous plaque by using an artificial intelligence model through deep learning. A deep learning-based diagnostic method of diagnosing a high risk lesion of a coronary artery includes: acquiring an OCT image of a coronary artery lesion of a patient; extracting a first feature of a thin cap from the OCT image; setting a region of interest included in the OCT image on a basis of the first feature; and determining whether the region of interest includes a high risk lesion.

Abstract: Provided are a diagnostic device and a diagnostic method for predicting fractional flow reserve (FFR) and diagnosing coronary artery lesions via a coronary angiography-based machine learning algorithm. A deep learning-based diagnostic method for diagnosing an ischemic lesion includes: obtaining an angiography image of a patient's blood vessel; extracting a region of interest (ROI) from the angiography image; acquiring diameter information of the blood vessel in the ROI; extracting morphological features of the blood vessel based on the diameter information; and obtaining a predictive FFR value by inputting the morphological features to an artificial intelligence (AI) model and determining whether a lesion is an ischemic lesion.

Abstract: Disclosed are an oral fixation device for radiation therapy and an oral fixation method in treatment of a lip cancer. The oral fixation device for radiation therapy includes a first spacer including a first insert inserted between a first lip portion and a first gum portion, and a tooth support coupled to the first spacer at a side of the first spacer disposed inwardly of an oral cavity, wherein teeth or gums of a patient is supported on the tooth support, wherein a first spacer has a specific thickness to maintain a specific spacing between the first lip portion and the first gum portion, wherein the first lip portion includes a treatment target portion to be subjected to the radiation therapy.

Abstract: A radio frequency ablation medical device includes a guide wire; a catheter configured to be movable to a lesion site of a tissue along the guide wire and having at least one electrode configured to generate heat according to an application of power; and a stent configured to be unfolded when protruding out of the catheter through an end portion of the catheter or recaptured in the end portion of the catheter when entering an inside of the catheter. The stent serves to transfer heat generated by the electrode to the lesion site in an unfolded state when getting out of the catheter.

Abstract: A method for determining the size of a bicuspid annulus of bicuspid, including acquiring an image of the heart including the left ventricle and the aorta; generating a first plane, which includes a line that passes through two base points in the bicuspid of the image of the heart; and generating multiple second planes, which are obtained per each rotation, while rotating the first plane multiple times by a predetermined angle about the line that passes through the two base points; measuring the cross-sectional area of each of at least one of the left ventricle and the aorta, which are formed on the first plane and the multiple second planes; selecting a plane for measuring the size of a bicuspid annulus among the first plane and the multiple second planes based on the measured cross-sectional area; and measuring the size of the bicuspid annulus based on the selected plane.

Abstract: Provided are a diagnostic system for predicting fractional flow reserve (FFR) through a machine learning algorithm based on an ultrasound image of a coronary artery and diagnosing the presence of a coronary artery lesion, and a diagnostic method thereof. The diagnostic method of diagnosing an ischemic lesion of a coronary artery includes: obtaining an intravascular ultrasound (IVUS) image of a coronary artery lesion of a patient; obtaining a mask image in which a vascular lumen is separated, by inputting the IVUS image into a first artificial intelligence model; extracting an IVUS feature from the mask image; and obtaining an FFR prediction value by inputting information including the IVUS feature into a second artificial intelligence model, and determining presence of an ischemic lesion.

Abstract: The present invention is a system for three-dimensionally mapping a heart, comprising: a mapping catheter including three or more optical cores each of which has a plurality of FBGs disposed in the lengthwise direction of a catheter body, and a plurality of electrodes disposed in the lengthwise direction of the catheter body and exposed on the outer circumferential surface of the catheter body, wherein the electrodes make contact with the inner wall of the heart; and a mapping processor for calculating coordinates of the FBGs by wavelength information of reflected light received from the three or more optical cores, and calculating coordinates of the electrodes from the coordinates of the FBGs so as to build a three-dimensional shape of the heart by using a sample point at which the plurality of electrodes make contact.

Abstract: The present invention provides a method for detecting mycoplasma, which can directly confirm whether a cell is infected with mycoplasma, by simultaneously amplifying DNA extracted from lysing a host cell infected with mycoplasma, and mitochondrial DNA in the cytoplasm of the host cell. According to the method of the present invention, by directly using the DNA inside the host cell, the DNA of mycoplasma bound around the nucleus of the host cell can be used as an amplification target, thereby increasing detection sensitivity. In addition, since the mitochondrial DNA inside the host cell is used as an amplification target of an internal control sample, whether the sample has been sampled in an appropriate amount can be confirmed in a convenient manner, and furthermore, by comparing the band size between the internal control sample and the mycoplasma DNA, the degree of mycoplasma infection can be quantitatively confirmed.

Abstract: The present disclosure relates to a method, an apparatus and a computer program for noninvasively determining a cause of a blood pressure change. The method includes at least: obtaining maximum amplitudes of heart sounds; monitoring changes in the maximum amplitudes; estimating change amounts of indexes on a myocardial contractile force and on vascular resistance, based on increasing or decreasing of a blood pressure of the patient, and the changes in the maximum amplitudes; and determining the cause of the blood pressure change of the patient as an effect of at least one of alpha action, alpha blockage, beta action and beta blockage, based on results of the estimation of the first change amount of the first index, the second change amount of the second index and the third change amount of the third index.

Abstract: The present invention relates to a biomarker for the non-invasive diagnosis of kidney transplantation rejection and use thereof, and particularly to: a biomarker composition and kit for diagnosing antibody-mediated rejection after kidney transplantation or predicting the prognosis of a patient after kidney transplantation, comprising any one or more proteins selected from the group consisting of LBP and CST3, or gene(s) encoding for the same; a method for providing information required for diagnosing antibody-mediated rejection after kidney transplantation or predicting the prognosis of a patient after kidney transplantation, by using the marker composition; a method for providing information required for determining a therapy for rejection after kidney transplantation; a method for the diagnosis and treatment of antibody-mediated rejection after kidney transplantation; and a method for screening for a therapeutic agent for antibody-mediated rejection after kidney transplantation.

Abstract: Disclosed are a device, a method, and a program for training memory using brain stimulation. The method includes at least: displaying a first problem on a task display portion of a screen; receiving a first response corresponding to the first problem; and evaluating a memory state of a user based on the first response. The first problem includes one or more output images to be displayed at a specific location within the task display portion, and the first response includes a result of comparing a previous first problem that was displayed before N times (N is a natural number) of executing the method, with the displayed first problem.

Abstract: A method for analyzing an ultrasound image in the first trimester of pregnancy includes: acquiring an ultrasound image in the first trimester of pregnancy; and acquiring at least one of characteristics of uterus, fetus, placenta, gestational sac, and egg yolk related to the acquired ultrasound image, and determining a group pertinent to the acquired ultrasound image among a plurality of predesignated groups based on the acquired characteristic and the acquired ultrasound image, using an ultrasound image analysis device that has learned in a machine learning technique.

Abstract: The present invention relates to an image processing system for a catheter operation. One embodiment comprises: a storage unit for at least temporarily storing a plurality of candidate routes on which a guide wire can proceed on a changing route caused by vascular bifurcations while proceeding from a first point by using a blood vessel image; and a processor for selecting, from an image inputted while an operation proceeds, at least one route corresponding to the current shape of the guide wire on the basis of a similarity comparison between the current shape of the guide wire and each of the plurality of candidate routes.

Abstract: Provided are the use of cereblon (CRBN) as a biomarker for diagnosis of hepatocellular carcinoma and novel monoclonal antibodies specific to CRBN. More specifically, provided are a composition and a kit for diagnosing or predicting the prognosis of hepatocellular carcinoma by using CRBN as a biomarker for diagnosis of hepatocellular carcinoma, an information providing method for diagnosing or predicting the prognosis of hepatocellular carcinoma, two novel monoclonal antibodies binding specifically to CRBN, and hybridoma cells producing the same. The expression level difference of CRBN protein allows patients with hepatocellular carcinoma to be diagnosed early and indicates better predictive capabilities than the presence or absence of microvascular invasion, which was an important factor in predicting a prognosis of hepatocellular carcinoma in prior art, and thus can be expected to be used as a diagnostic marker to diagnose hepatocellular carcinoma and to evaluate a prognosis after hepatic resection.

Abstract: The present disclosure relates to a tool for a closed reduction of a fracture. The tool includes at least: a winding portion having a winding shape; a support extending from the winding portion in a normal direction relative to a plane of the winding shape; and a handle extending from the support in the normal direction, and configured to be gripped.

Abstract: Provided are a pharmaceutical composition including a Crepidiastrum denticulatum extract as an active ingredient; and a method for preventing or treating ischemia-reperfusion injury in a subject by using a food composition or the pharmaceutical composition.