A non-transitory recording medium storing a computer readable image processing program that causes a computer to: obtain a captured image; detect, from the obtained image, a person area representing a person and an object area representing a predetermined object; detect positions of articulation points of the person from the detected person area; and estimate an action of the person based on the detected positions of the articulation points and the detected object area.

An analyte monitor includes a sensor, a sensor control unit, and a display unit. The sensor control unit typically has a housing adapted for placement on skin and is adapted to receive a portion of an electrochemical sensor. The sensor control unit also includes two or more conductive contacts disposed on the housing and configured for coupling to two or more contact pads on the sensor. A transmitter is disposed in the housing and coupled to the plurality of conductive contacts for transmitting data obtained using the sensor. The display unit has a receiver for receiving data transmitted by the transmitter of the sensor control unit and a display coupled to the receiver for displaying an indication of a level of an analyte, such as blood glucose. An inserter having a retractable introducer is provided for subcutaneously implanting the sensor in a predictable and reliable fashion.

An analyte monitor includes a sensor, a sensor control unit, and a display unit. The sensor control unit typically has a housing adapted for placement on skin and is adapted to receive a portion of an electrochemical sensor. The sensor control unit also includes two or more conductive contacts disposed on the housing and configured for coupling to two or more contact pads on the sensor. A transmitter is disposed in the housing and coupled to the plurality of conductive contacts for transmitting data obtained using the sensor. The display unit has a receiver for receiving data transmitted by the transmitter of the sensor control unit and a display coupled to the receiver for displaying an indication of a level of an analyte, such as blood glucose. An inserter having a retractable introducer is provided for subcutaneously implanting the sensor in a predictable and reliable fashion.

A software system for assisting a physician's diagnosis and reporting based on medical imaging includes software tools for pre-processing medical images, collecting findings, and automatically generating medical reports. A pre-processing software component generates an anatomical segmentation and/or computer-aided diagnosis based on an analysis of a medical image. A finding collecting software component displays the image, and facilitates rapid and efficient entry of associated findings by displaying a filtered list of templates associated with a selected region of the image and/or a computer-aided diagnosis. When the physician selects a template from the filtered list, the template may be displayed with entry options pre-filled based, e.g., on any computer-aided diagnosis. After the physician edits and/or confirms the entries, a report generation component uses the entries to generate a medical report.

Systems and methods for intelligently routing a member of an organization to a single point-of-contact within an optimized, secure network to address all the member's healthcare needs are described. The disclosed intelligent routing configurations transform and process, in real-time, vast amounts of member data to generate aggregated diagnoses and a member score specific to each member's household. The scores, among other things, are used to determine an identification of special needs and an appropriate advocate within the organization to route the member, and its account file containing real-time member and household level data.

Systems and methods are provided herein for treating a patient in cardiogenic shock. An intravascular heart pump system is inserted into vasculature of the patient. The heart pump system has a cannula, pump outlet, pump inlet, and rotor. The heart pump system is positioned within the patient such that the cannula extends across the patient's aortic valve, the pump inlet is located within the patient's left ventricle, and the pump outlet is located within the patient's aorta. Data related to time-varying parameters of the heart pump system is acquired from the heart pump system. A plurality of features are extracted from the data. A probability of survival of the patient is determined based on the plurality of features and using a prediction model. The heart pump system is operated to treat the patient.

Systems and methods are provided herein for treating a patient in cardiogenic shock. An intravascular heart pump system is inserted into vasculature of the patient. The heart pump system has a cannula, pump outlet, pump inlet, and rotor. The heart pump system is positioned within the patient such that the cannula extends across the patient's aortic valve, the pump inlet is located within the patient's left ventricle, and the pump outlet is located within the patient's aorta. Data related to time-varying parameters of the heart pump system is acquired from the heart pump system. A plurality of features are extracted from the data. A probability of survival of the patient is determined based on the plurality of features and using a prediction model. The heart pump system is operated to treat the patient.

A phantom model of teeth set, a method for evaluating the scanning accuracy of a scanner using the same model, and a method for evaluating the 3D printing precision of a printer using the same model is disclosed. The disclosed phantom model of teeth set comprises a base layer and a layer of teeth set comprising a tooth model as positioned on the base layer, and the tooth model may be constructed such that a shape observed in one direction differs from shapes viewed in the other direction.

Described are systems and methods for generating sleep scores based at least in part on the visual appearance of hypnograms. The disclosed implementations generate an embedding vector representative of the visual appearance of a hypnogram and utilize that embedding to determine a sleep score of the sleep session represented by the hypnogram. For example, a deep neural network, such as a convolutional neural network (“CNN”), may be trained with input data that includes hypnograms that have been labeled according to their sleep quality, or sleep score. The trained network may then be provided with an unlabeled hypnogram, generate an embedding representative of that hypnogram, and determine a sleep score corresponding to that hypnogram.

Described are systems and methods for generating sleep scores based at least in part on the visual appearance of hypnograms. The disclosed implementations generate an embedding vector representative of the visual appearance of a hypnogram and utilize that embedding to determine a sleep score of the sleep session represented by the hypnogram. For example, a deep neural network, such as a convolutional neural network (“CNN”), may be trained with input data that includes hypnograms that have been labeled according to their sleep quality, or sleep score. The trained network may then be provided with an unlabeled hypnogram, generate an embedding representative of that hypnogram, and determine a sleep score corresponding to that hypnogram.