An image processing system includes an acquiring section that acquires biological information on a user who makes an image processing apparatus execute a job and operation information on the image processing apparatus with the biological information changing depending on a state of the user, an analysis section that analyzes stress of the user concerning use of the image processing apparatus, based on the biological information and the operation information, and an output section that outputs an analysis result obtained by the analysis section.

A system for monitoring a health status of a person, includes a mobile terminal configured to display the status and in wireless communication with a first sensor attached to one leg of the person to acquire first information relating to a state of the one leg, and a second sensor attached to a part of a body of the person other than said one leg to acquire second information relating to a state of the part, and a server in communication with the terminal to acquire the first and second information from the sensors. The server is configured to compare the first and second information and determine a blood vessel state of said one leg based on its difference, and transmit to the terminal information indicating the blood vessel state. The mobile terminal is configured to update the status based on the information.

A method and system of screening and monitoring a person for Alzheimer's disease, Mild Cognitive Impairment, and Lewy Body Dementia (Dementia) using the King-Devick Test are provided including providing a visual display and a timing device; displaying on the visual display one or more series of symbols arranged in a pattern; providing an indication to the person being screened to begin reading aloud the symbols arranged in the pattern; capturing with the timing device the completion time to read the one or more series of symbols arranged in the pattern; comparing the completion time with a baseline time to complete reading the one or more series of symbols; and determining whether the person has an “abnormal” result based on comparing the completion time with the baseline time.

A device for measuring a degree of progression of disease includes a processor that: acquires a continuously measured arterial oxygen saturation degree, determines a reduction-related index related to reduction by exercise load of the measured arterial oxygen saturation degree based on the continuously measured arterial oxygen saturation degree, acquires information indicating a magnitude of the exercise load, and determines the degree of progression of the disease based on the information indicating the magnitude of the exercise load and the determined reduction-related index.

Provided is a method and apparatus for providing information needed for the diagnosis of lymph node metastasis of a thyroid cancer, and the method includes the steps of: acquiring medical images produced correspondingly to the continuous volumes of a body region including the neck; detecting at least one or more lymph nodes from the medical images through a first network function learned, the lymph nodes including at least one or more lymph nodes having higher lymph node metastasis risks than a given reference value; dividing the neck tissue around the thyroid into a plurality of compartments on the medical images through a second network function learned, based on the anatomical characteristics of the neck tissue; and matching diagnostic information including the information of the detected lymph nodes and the plurality of compartments with the medical images and displaying the diagnostic information on the medical images.

Disclosed herein are systems, methods, and devices for classifying ophthalmic images according to disease type, state, and stage. The disclosed invention details systems, methods, and devices to perform the aforementioned classification based on weighted-linkage of an ensemble of machine learning models. In some parts, each model is trained on a training data set and tested on a test dataset. In other parts, the models are ranked based on classification performance, and model weights are assigned based on model rank. To classify an ophthalmic image, that image is presented to each model of the ensemble for classification, yielding a probabilistic classification score—of each model. Using the model weights, a weighted-average of the individual model-generated probabilistic scores is computed and used for the classification.

The various embodiments herein disclose a method and a system with a portable handheld diagnostic device for detecting and/or monitoring the prognosis of nerve impairment or diabetic peripheral neuropathy. The system provides a multi-parameter diabetic neuropathy-screening device to perform a combination of tactile threshold test, vibration threshold test, thermal threshold test and contactless skin-temperature measurement. The present invention provides a smartphone application that helps a user to operate/control the device, store and share the results. The smartphone application interacts with the hardware modules in the device and guides the user to perform the various tests. Further, the neuropathy diagnostic system provides a wireless feedback button that enables the subject to respond to various sensations during the course of the test.

The present invention is related to improved methods for analysis of images of the vitreous and/or retina and/or choroid obtained by optical coherence tomography and to methods for making diagnoses of retinal disease based on the reflectivity profiles of various vitreous and/or retinal and/or choroidal layers of the retina.

This document describes techniques and apparatuses enabling determination of health state trends for a consistent patient situation. Various noninvasive health monitors can be used to sense a patient's situation and health states, including disease progression, at those states. These noninvasive health monitors may also act passively and in a patient's normal course of life, which enhances many patient's desire to submit to monitoring, as well as increase consistency of use, as in many cases the patient does little or nothing to cause his or her health monitoring and health-trend determination. With health states determined for a consistent patient situation, more accurate and more robust health trends can be determined.

The disclosure describes a smart bandage assembly. The bandage assembly includes a bandage member; a movement sensor, a pressure sensor, a methane sensor, or a humidity sensor; a microcontroller; a memory; and a radio transceiver for communication with a mobile communications device. The electronic components of the bandage assembly may be embedded within the bandage member. In some implementations, the radio transceiver harvests RF energy to power the memory within the bandage assembly so that sensor data stored in the memory can be accessed by a mobile communications device when other remaining electronic devices in the bandage assembly remain in a sleep state or power off mode.