Abstract: An artificial intelligence medical examination and medical record generation system includes a medical examination database storing a medical examination item and a past medical examination result, a medical examination generation unit generating or updating a medical examination scenario by selecting a medical examination item through a medical examination-generation artificial intelligence based on patient data, a medical examination provision unit providing the medical examination scenario with an expression familiar to a patient through natural language processing of a medical examination-provision artificial intelligence based on the patient data, a medical examination analysis unit analyzing a patient answer to the medical examination scenario through structuralizing, standardizing, and encoding processes, a record generation unit generating a medical record familiar to medical personnel based on an analysis result generated by the medical examination analysis unit, and a transmission unit transmitting

Abstract: A system includes a database storing a questionnaire scenario, a questionnaire analysis unit analyzing a questionnaire answer from a patient by using an artificial intelligence, a primary diagnosis unit generating a primary diagnosis result by diagnosing the patient based on an analysis result, a medical device linkage unit selecting a necessary test item based on the primary diagnosis result and linked with a medical device, a multi-access edge computing (MEC) linkage unit processing the MEC in linkage with a mobile communication base station, a secondary diagnosis unit generating a secondary diagnosis result by using a test result received from the medical device linkage unit and/or the MEC linkage unit, an electronic medical record (EMR) linkage unit receiving EMR data in linkage with an EMR system, and a diagnostic performance enhancement unit enhancing performance of the questionnaire scenario by using the secondary diagnosis result and the EMR data.

Abstract: A diagnostic disease prediction system according to an embodiment is based on a remote interactive questionnaire to provide the patient and the medical personnel with a disease prediction result, thereby helping a medical consumer correctly identify his/her condition and select an appropriate medical department and helping medical personnel quickly select a patient in emergency. The system includes a database (DB) storing a questionnaire scenario, a questionnaire analysis unit analyzing a questionnaire answer acquired from a patient by using an analysis artificial intelligence, a disease prediction unit generating a disease prediction result by analyzing a patient symptom through a questionnaire result systematized using a diagnosis artificial intelligence, a test selection unit selecting a necessary test item based on the disease prediction result, and a communication unit delivering the disease prediction result and the selected necessary test item to the patient or a medical institution.

Abstract: Disclosed herein is a hybrid type sensor for detecting high frequency partial discharge which can detect high frequency partial discharge at a high signal-to-noise ratio without being influenced by power noise and surrounding noise, and guarantee the safety of a test when breakdown occurs. The sensor forms two or three signal paths with different impedances wherein a low frequency power signal is bypassed to ground through a first path, and a high frequency partial discharge current is allowed to flow through a second path and is detected as a resistance component through a resistor. Further, a surge voltage input to the sensor due to breakdown is input to the ground through a third path.

Abstract: Disclosed herein is a hybrid type sensor for detecting high frequency partial discharge. The hybrid type sensor of the present invention can detect high frequency partial discharge at a high signal-to-noise ratio without being influenced by power noise and surrounding noise, and guarantee the safety of a test when breakdown occurs. The sensor of the present invention forms two or three signal paths with different impedances. A low frequency power signal is bypassed to ground through a first path, and a high frequency partial discharge current is allowed to flow through a second path and is detected as a resistance component through a resistor. Further, a surge voltage input to the sensor due to breakdown is input to the ground through a third path. Therefore, the present invention can precisely and safely detect the amount of high frequency partial discharge.