Samsung Life Public Welfare Foundation

Gyeong-Moon Kim

Oh Young Bang

Pyoung Jeon

Woo-Keun Seo

Geon Ha Kim

Yoon-Chul Kim

Jong-Won Chung

According to an embodiment of the present disclosure, there is provided a method of predicting a brain tissue lesion distribution, the method including: a model learning operation of learning a prediction model for predicting a brain tissue lesion distribution of a subject by using brain image data of a plurality of previous patients; an input obtaining operation of obtaining input data from brain image data of the subject; and an output operation of generating output image data including information on the lesion distribution after recanalization treatment for the subject, by using the prediction model. The prediction model includes a success prediction model that is learned by using data of patients in which recanalization treatment is successful among the plurality of previous patients, and a failure prediction model that is learned by using data of patients in which recanalization treatment fails among the plurality of previous patients.

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Seoul, South Korea

Gyeong-Moon Kim