Abstract: According to the present disclosure, provided are a method for harmonizing a medical image which includes receiving a medical image for an object, and harmonizing the received medical image to acquire a filtered medical image by using a convolutional filter based on a predictive model trained to output a reconstructed image using the medical image as input, in which the convolutional filter corresponds to a first convolutional layer of the predictive model, and a device using the same and the present disclosure is a technology developed through the Seoul Business Agency of the Seoul Metropolitan Government (2023 Bio-Medical Technology Commercialization Support Project BT230080 Validation of Safety and Efficacy of Echocardiographic Imaging Diagnosis Solution through Myocardial Texture Analysis Based on Ultrasound Imaging).

Abstract: In order to determine presence or absence of abnormality in an internal organ or muscle, a method of determining presence or absence of abnormality in an internal organ or muscle may include obtaining at least one image of the internal organ or muscle, determining at least one feature matrix for the at least one image, determining a feature value for measuring a tissue phenotype from the at least one feature matrix, and determining presence or absence of the abnormality in the internal organ or muscle using a trained artificial intelligence model. The feature value may include items selected as information indicating the tissue phenotype of the internal organ or muscle, and the items may be selected using a machine learning model among candidate feature values determinable from the at least one feature matrix.

Abstract: In order to detect medical indices in a medical image, a method of obtaining information from a medical image may include performing segmentation on regions of a heart in the medical image, generating at least one reference line based on the segmentation and determining at least one medical index based on the at least one reference line.

Abstract: In order to detect medical indices in a medical image, a method of obtaining information from a medical image may include performing segmentation on regions of a heart in the medical image, generating at least one reference line based on the segmentation and determining at least one medical index based on the at least one reference line.

Abstract: The present invention relates to predicting a future onset possibility of a disease by using an artificial intelligence algorithm, and a method for predicting the onset of the disease may include: obtaining input data based on medical checkup data of a subject; generating output data indicating an onset possibility of the disease by year from the input data by using a trained artificial intelligence model; determining at least one item with a relatively high contribution to a result of the output data; and outputting information regarding the onset possibility of the disease by year and the at least one item.