Abstract: The present invention relates to a composition for the differential diagnosis of malignant peripheral nerve sheath tumor (MPNST), a differential diagnosis kit comprising same, a method for providing information required for differential diagnosis of MPNST using same, a method for screening materials for preventing, alleviating, and treating MPNST, and the like. Using the composition capable of detecting the protein marker of the present invention has the effect of making it possible to predict and diagnose whether a malignant tumor has occurred in a patient with neurofibromatosis type 1.

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: A method for monitoring a fetal heart rate may include the steps of: acquiring fetal heart rate monitoring data; determining a fetal heart rate value by dividing the acquired fetal heart rate monitoring data by a predetermined time interval; and determining a fetal state by applying, to the determined fetal heartbeat value, a learned artificial intelligence algorithm using a learning database including the fetal heartbeat monitoring data pre-acquired in association with a plurality of fetuses.

Abstract: The present invention relates to a method for providing an ultrasonic image analysis and, more particularly, a method for providing information, which is helpful in diagnosing a disease of a fetus, by extracting a placenta part from an ultrasonic image and analyzing, by using a deep learning engine, a correlation among microscopic images for a placenta.