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1.发明公开
公开(公告)号：EP4406481A2
公开(公告)日：2024-07-31
申请号：EP22873175.8
申请日：2022-09-21
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung , JANG, Jonghwan
摘要： According to an embodiment of the present disclosure, there are disclosed a method, program and device for interpreting medical data based on explainable artificial intelligence, which are performed by a computing device. The method may include: training a first neural network model to estimate a positive or negative for a disease with respect to first medical data based on the first medical data; and training a second neural network model configured to transform features of second medical data so that a positive or negative for the disease with respect to the second medical data is estimated to be opposite by using the trained first neural network model.
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2.发明公开
公开(公告)号：EP4385413A1
公开(公告)日：2024-06-19
申请号：EP22873168.3
申请日：2022-09-21
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung
摘要： According to an embodiment of the present disclosure, there are disclosed a method, computer program and device for measuring a continuous body condition based on deep learning, which are performed by a computing device. The method includes: acquiring electrocardiogram data; and inferring a body condition corresponding to the occurrence or progress of a disease in a subject, whose electrocardiogram data was measured, based on the electrocardiogram data by using a pre-trained neural network model. The neural network model has been trained based on at least one of a first feature related to biological information representing a body characteristic having a correlation with the disease and a second feature related to pathological information reflecting the degree of progress of the disease therein.
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公开(公告)号：EP4406478A1
公开(公告)日：2024-07-31
申请号：EP22873190.7
申请日：2022-09-22
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung , LEE, Byeongtak
摘要： A method of correcting an error in an electrocardiogram signal, which is performed by a computing device, according to an embodiment of the present disclosure includes: acquiring electrocardiogram signals; estimating an error in the acquired electrocardiogram signals based on the correlations between leads for the measurement of the acquired electrocardiogram signals; and correcting an electrocardiogram signal, estimated to have the error, based on correction information for the correction of an error in an electrocardiogram signal.
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4.发明公开
公开(公告)号：EP4417127A1
公开(公告)日：2024-08-21
申请号：EP22881248.3
申请日：2022-09-23
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung
摘要： According to an embodiment of the present disclosure, there is provided a method of diagnosing left ventricular systolic dysfunction based on an electrocardiogram, the method being performed by a computing device including at least one processor, the method including: acquiring electrocardiogram data; and estimating the probability of occurrence of left ventricular systolic dysfunction for the subject of measurement of the electrocardiogram data based on the electrocardiogram data by using a pre-trained neural network model; wherein the neural network model has been trained based on the correlations between left ventricular systolic dysfunction and changes in electrocardiogram characteristics.
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5.发明公开
公开(公告)号：EP4407633A1
公开(公告)日：2024-07-31
申请号：EP22873142.8
申请日：2022-09-15
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung , LEE, Byeongtak
摘要： According to an embodiment of the present disclosure, there are disclosed a method, program, and device for the training and inference of a deep learning model based on medical data, which are performed by a computing device. The training method includes: training a first neural network model based on medical data; and training a second neural network model based on the trained first neural network model by matching a first operation function representative of a neural network block included in the trained first neural network model and a second operation function representative of a neural network block included in the second neural network model.
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6.发明公开
公开(公告)号：EP4406473A1
公开(公告)日：2024-07-31
申请号：EP22873206.1
申请日：2022-09-23
申请人： Medical AI Co., Ltd.
发明人： KWON, Joonmyoung
摘要： According to an embodiment of the present disclosure, there is provided a method of diagnosing thyroid dysfunction based on an electrocardiogram, the method being performed by a computing device including at least one processor, the method including: acquiring electrocardiogram data; and estimating the probability of occurrence of thyroid dysfunction for the subject of measurement of the electrocardiogram data based on the electrocardiogram data by using a pre-trained neural network model; wherein the neural network model is trained based on the correlations between thyroid function and changes in electrocardiogram characteristics.
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