Abstract: Provided are an artificial intelligence ultrasound-medical-diagnosis apparatus and a remote medical-diagnosis method using the same. The apparatus can automatically diagnose diseases based on ultrasound medical examinations and ultrasound image processing. The ultrasound-medical-diagnosis apparatus includes a semantic segmentation artificial intelligence network configured to perform labeling on visualized organs of a patient using mutually different colors to detect a position of an organ of interest displayed on the ultrasound image.

Abstract: A distributed type traffic line tracing apparatus of the present disclosure is personally installed in a residence of a tracing target person, to automatically verify whether a traffic line of the tracing target person coincides with a traffic line of a confirmed person and automatically report a result to a disease management authority only when the traffic lines coincide with each other in an emergency situation such as an infectious disease pandemic, so that a quarantining target person is discovered and found early while protecting a privacy of an individual much more when compared to a centralized type, thereby rapidly establishing an infectious disease management system for patients with suspected diseases and efficiently managing the patients from the spread of infectious diseases.

Abstract: Disclosed herein is a device of self-diagnosing breast cancer with an artificial intelligence and with no assistance from a physician, the present disclosure provides a thermographic ultrasound scanner device that guides a proper posture correction of an ultrasound scanner with an augmented reality that delivers feedback control commands to a patient who self-diagnoses through a smart mirror and enables a patient to self-diagnose breast cancer by an artificial intelligence neural network that has been learned by thermographic and ultrasound images, and a method of self-diagnosing using the same.

Abstract: The present invention relates to a polymerase chain reaction (hereinafter, referred to as ‘PCR’) disc apparatus for performing a PCR on a compact disc and an analysis method using the same, more specifically to a PCR disc apparatus and an analysis method using the same that are capable of allowing micro-needle tunnelling channels and different types of chambers to be integratedly arranged on a compact disc to perform DNA or RNA amplification, so that in a situation such as Coronavirus disease pandemic, a user can perform PCR analysis of non-face-to-face easily even at home to permit a doctor to remotely check PCR analysis results through the Internet network.

Abstract: A ceiling artificial intelligence (AI) health monitoring system, includes a monitoring device provided on a ceiling of a space to acquire health information from a patient, and a medical management device configured to apply the health information of the patient acquired to an artificial intelligence-based learning model to determine health condition information of the patient and provide the determination result to a doctor monitor. The medical management device is configured to provide remote medical diagnosis information from the doctor monitor to a user terminal.

Abstract: A discrete wavelet transform-based noise removal apparatus and a remote medical diagnosis system using the same. The discrete wavelet transform-based noise removal apparatus can effectively remove noise from various medical images including ultrasound images, images indicative of results of biological or chemical reaction on a bio-disc, images obtained by medical devices, and images for telemedicine.

Abstract: Disclosed herein are an apparatus for AI-based automatic ultrasound diagnosis of liver steatosis and a remote medical diagnosis method using the same applied in the field of ultrasound image processing. The apparatus for AI-based automatic ultrasound diagnosis of liver steatosis can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by imaging medical examination using a deep learning trained artificial neural network.

Abstract: An apparatus for correcting a posture of an ultrasound scanner for artificial intelligence-type ultrasound self-diagnosis, includes an ultrasound scanner including an ultrasound probe configured to acquire and transmit an ultrasound image of a patient; a mapper configured to acquire a body map of the patient in which a plurality of virtual interested organs is arranged on a body image; a scanner navigator configured to calculate current position coordinates of the ultrasound scanner on the body map and the ultrasound image; augmented reality glasses configured to display the ultrasound image and a virtual object image; and a processor configured to determine whether the patient has a disease and a risk degree of the disease based on an artificial neural network result of an implemented deep learning neural network trained on ultrasound training images provided with the ultrasound image.

Abstract: Disclosed herein are an apparatus for automatic ultrasound diagnosis of liver steatosis using feature points in an ultrasound image, which can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by medical imaging, and a remote medical diagnosis method using the same.

Abstract: The present disclosure provides an artificial intelligence-infected asymptomatic people movement-tracing apparatus and a method which in an emergency such as an epidemic pandemic, use an artificial intelligence movement-tracing apparatus of infected asymptomatic people of the present disclosure which is personally installed in the residence of the tracing target to automatically check whether to match the traffic line of the tracing target and the traffic line of the confirmed case and automatically report to the disease control authority only when the traffic lines match to protect individual privacy compared to the centralized system and automatically search for infected asymptomatic people classified as blind confirmed cases (hidden positive people) and self-quarantine subjects to quickly establish an infectious disease management system for suspected disease patients and efficiently manage the people from the spread of infectious diseases.

Abstract: An artificial intelligence neural network apparatus, comprising: a labeled learning database having data of a feature vector composed of N elements; a first feature vector image converter configured to visualize the data in the learning database to form an imaged learning feature vector image database; a deep-learned artificial intelligence neural network configured to use a learning feature vector image in the learning feature vector image database to perform an image classification operation; an inputter configured to receive a test image, and generate test data based on the feature vector; and a second feature vector image converter configured to visualize the test data and convert the visualized test data into a test feature vector image. The deep-learned artificial intelligence neural network is configured to determine a class of the test feature vector image.

Abstract: A ceiling artificial intelligence (AI) health monitoring system, includes a monitoring device provided on a ceiling of a space to acquire health information from a patient, and a medical management device configured to apply the health information of the patient acquired to an artificial intelligence-based learning model to determine health condition information of the patient and provide the determination result to a doctor monitor. The medical management device is configured to provide remote medical diagnosis information from the doctor monitor to a user terminal.

Abstract: A distributed type traffic line tracing apparatus of the present disclosure is personally installed in a residence of a tracing target person, to automatically verify whether a traffic line of the tracing target person coincides with a traffic line of a confirmed person and automatically report a result to a disease management authority only when the traffic lines coincide with each other in an emergency situation such as an infectious disease pandemic, so that a quarantining target person is discovered and found early while protecting a privacy of an individual much more when compared to a centralized type, thereby rapidly establishing an infectious disease management system for patients with suspected diseases and efficiently managing the patients from the spread of infectious diseases.

Abstract: Provided are an artificial intelligence ultrasound-medical-diagnosis apparatus using semantic segmentation and a remote medical-diagnosis method using the same, which can automatically determine ultrasound-diagnosis for diseases acquired through imaging medical examinations although the diseases are hard to be visually diagnosed in a field of ultrasound image processing. The ultrasound-medical-diagnosis apparatus using semantic segmentation, includes a semantic segmentation artificial intelligence network configured to perform labeling on each of a plurality of organs of the patient using mutually different colors to detect a position of the organ of interest from the ultrasound image.

Abstract: An artificial intelligence neural network apparatus, comprising: a labeled learning database having data of a feature vector composed of N elements; a first feature vector image converter configured to visualize the data in the learning database to form an imaged learning feature vector image database; a deep-learned artificial intelligence neural network configured to use a learning feature vector image in the learning feature vector image database to perform an image classification operation; an inputter configured to receive a test image, and generate test data based on the feature vector; and a second feature vector image converter configured to visualize the test data and convert the visualized test data into a test feature vector image. The deep-learned artificial intelligence neural network is configured to determine a class of the test feature vector image.

Abstract: Disclosed herein are an apparatus for automatic ultrasound diagnosis of liver steatosis using feature points in an ultrasound image, which can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by medical imaging, and a remote medical diagnosis method using the same.

Abstract: Disclosed herein are an apparatus for AI-based automatic ultrasound diagnosis of liver steatosis and a remote medical diagnosis method using the same applied in the field of ultrasound image processing. The apparatus for AI-based automatic ultrasound diagnosis of liver steatosis can automatically determine a grade of liver steatosis, which is difficult to determine visually, through extraction from an image acquired by imaging medical examination using a deep learning trained artificial neural network.

Abstract: A discrete wavelet transform-based noise removal apparatus and a remote medical diagnosis system using the same. The discrete wavelet transform-based noise removal apparatus can effectively remove noise from various medical images including ultrasound images, images indicative of results of biological or chemical reaction on a bio-disc, images obtained by medical devices, and images for telemedicine.

Abstract: A thin film valve includes at least one chamber for storing a fluid required for biological/chemical analysis, a plurality of chamber for performing a biological/biochemical reaction, or connecting, at least one chamber performing the biological or biochemical reaction to enable a movement of the fluid flow, a flow path arranged to communicate with the hole on the flow path, a thin film closing membrane for closing the fluid hole, a thin film valve including the hole and the fluid hole closing membrane, a multilayered plurality of substrates forming the fluid path, the fluid hole and the chamber, a rotatable disk forming the fluid path, fluid hole, the plurality of chambers, a heat generator, laser beam generator heating the thin film valves, a light detector for detecting amount of light passing through the membrane and closing the fluid hole, and a feedback controller for controlling the focusing actuator.

Abstract: A nucleic acid amplification disk apparatus using a temperature sensitive polymer synthesis and the analysis method using the same, and more specifically, and the nucleic acid amplification device, and the analysis method using the nucleic acid amplification disk unit and the nucleic acid amplification disk for amplifying the Bacterial DNA or RNA, and the driving control section for controlling the nucleic acid amplification disk.