A determination system includes a body surface change information acquirer, a motion detector, and a physiological state determiner. The body surface change information acquirer acquires body surface change information indicating a chronological change in body surface data obtained from a part of a body surface of a subject. The motion detector detects a motion of the subject. The physiological state determiner determines a physiological state of mind or body of the subject based on the body surface data acquired upon detecting the motion of the subject.

The present invention relates to an automatic cervical cancer diagnosis system for performing machine learning by classifying cervical data required for automatic diagnosis of cervical cancer according to accurate criteria and automatically diagnosing cervical cancer based on the machine learning, the automatic cervical cancer diagnosis system including: a learning data generator configured to classify unclassified photographed image data for a cervix transmitted from an external device or a storage according a combination of multi-level classification criteria to generate learning data for each new classification criterion in a learning mode; a photographed image pre-processer configured to pre-process photographed cervix images; a cervical cancer diagnoser including a machine learning model for cervical cancer that learns a characteristic of the learning data generated for each classification criterion in the learning mode, wherein the machine learning model generates diagnosis information about whether cervical cancer has occurred with respect to the pre-processed photographed cervix image; a screen display controller configured to display and output a user interface screen configured to display the diagnosis information and inputting evaluation information according to a reading specialist; a retraining data generator configured to extract information required for retraining from the evaluation information input through the user interface screen and request retraining the machine learning model; and a diagnosis and evaluation information storage configured to store the diagnosis information about whether cervical cancer has occurred and the evaluation information input through the user interface screen.

A non-invasive wearable sensor device for detecting biomarkers in secretion according to this invention comprises a colorimetric sensor (1), an electrochemical sensor (2), an electrochemical detector and processor (3) and a housing (4). The housing (4) is formed such that allows the colorimetric sensor (1) and electrochemical sensor (2) to contact with the secretion directly and continuously during wearing of the sensor device. This sensor device provides high performance of secretion absorption and retention, leading to high sensitivity to detection of biomarkers using a trace level of secretion sample. This sensor device is developed for detecting biomarkers based on two techniques: the colorimetric sensor (1) which allows the user to interpret a result by comparing it with a standard col or chart, and the electrochemical sensor (2) which provides a digital readout result. This sensor device can be used or simultaneous detection of several biomarkers in the same secretion sample.

A computer-assisted medical device is configured and used to endoluminally navigate to a location in the gastrointestinal system and there treat certain body lumen wall areas while avoiding other body lumen wall areas. Embodiments ablate the inner mucosal layer and sub-mucosal nerve plexus of the stomach, duodenum and jejunum to effect treatment of insulin resistance and metabolic disorders, such as Type II diabetes (T2D), polycystic ovarian syndrome (PCOS), non-alcoholic steatohepatitis (NASH), non-alcoholic fatty liver disease (NAFLD), congestive heart failure (CHF) and obstructive sleep apnea (OSA). Various sensors are used to assist a clinical operator to navigate from the mouth through the pyloric sphincter and into and through the duodenum and/or jejunum. Various sensors are used to map and identify portions of the duodenum and/or jejunum. Various lumen wall ablation devices and methods are described. Various post-treatment assessments are described.

An examination device includes a processor, and the processor detects, in swallowing videoendoscopy in which an inflow object is given to a subject and a swallowing action is observed, at least two timings among a swallowing instruction timing at which a swallowing instruction is given, an inflow timing of the inflow object into the pharynx during the swallowing action, and a swallowing reflex triggering timing in the subject.

Systems and methods for assessing a flow of fluids suctioned from a patient. The flow of fluids may be divided according to a flow division ratio. An image of a first portion of the fluids may be evaluated to determine an estimated blood component quantity as a representative fraction of the flow of fluids. An intermittent estimate of blood loss may be determined based on the flow division ratio and the estimated blood component quantity, and a total estimate of blood loss updated based on the intermittent estimate. The representative fraction is projected or extended to be an estimated blood component quantity of the second portion of the fluids that bypasses the receptacle. The images may be continuously captured with a camera, and a fluid level of the fluids with a receptable may be continuously monitored. The total estimate of blood loss may be displayed in real-time on a display.

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.

A method for estimating human body temperature includes receiving, via a thermal camera, a thermal image captured of a real-world environment, the thermal image including thermal intensity values for each of a plurality of pixels of the thermal image. A position of a human face is identified within the thermal image, the human face corresponding to a human subject. An indication of a distance between the human subject and the thermal camera is received. Based on the distance, a distance correction factor is applied to one or more thermal intensity values of one or more pixels corresponding to the human face to give one or more distance-corrected thermal intensity values. Based on the one or more distance-corrected thermal intensity values an indication of a body temperature of the human subject is reported.

A computer-assisted medical device is configured and used to endoluminally navigate to a location in the gastrointestinal system and there treat certain body lumen wall areas while avoiding other body lumen wall areas. Embodiments ablate the inner mucosal layer and sub-mucosal nerve plexus of the stomach, duodenum and jejunum to effect treatment of insulin resistance and metabolic disorders, such as Type II diabetes (T2D), polycystic ovarian syndrome (PCOS), non-alcoholic steatohepatitis (NASH), non-alcoholic fatty liver disease (NAFLD), congestive heart failure (CHF) and obstructive sleep apnea (OSA). Various sensors are used to assist a clinical operator to navigate from the mouth through the pyloric sphincter and into and through the duodenum and/or jejunum. Various sensors are used to map and identify portions of the duodenum and/or jejunum. Various lumen wall ablation devices and methods are described. Various post-treatment assessments are described.