Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

An example operation includes one or more of receiving a first health characteristic of an occupant from a first device affixed to a transport, responsive to the first health characteristic being at or outside a threshold, receiving a second health characteristic of the occupant from a second device affixed to the occupant, and sending a notification to other devices that were proximate the second device when the second health characteristic is outside the threshold.

A system and method for determining a health outcome, comprising: receiving first and second images or videos of a wound of a patient; comparing the images or videos to detect a characteristic of the wound, the characteristic including an identification of a change in the wound; receiving at least one non-image or non-video data input that includes data about the patient; executing a machine learning algorithm comprising a dataset of images or videos to analyze the identified change in the wound and to correlate at least one first image or video and at least one second image or video with the at least one non-image or non-video data input and to train the machine learning algorithm with the identification of a change in the wound; and generating a medical outcome prediction regarding a status and recovery of the patient in response to correlating the at least one additional input with the first and second images or videos.

A system and method for determining a health outcome, comprising: receiving first and second images or videos of a wound of a patient; comparing the images or videos to detect a characteristic of the wound, the characteristic including an identification of a change in the wound; receiving at least one non-image or non-video data input that includes data about the patient; executing a machine learning algorithm comprising a dataset of images or videos to analyze the identified change in the wound and to correlate at least one first image or video and at least one second image or video with the at least one non-image or non-video data input and to train the machine learning algorithm with the identification of a change in the wound; and generating a medical outcome prediction regarding a status and recovery of the patient in response to correlating the at least one additional input with the first and second images or videos.

Systems, devices, and technical methods of the present disclosure leverage digital visitor logs from confinement facilities to identify people of interest that may be involved in incidents to which first responders are dispatched. When a phone call is received at phone public safety access point, a first query including a name associated with the call is transmitted to a digital visitor log for a confinement facility. A digital response to the first query identifies a visitee who was visited by a visitor by that name while the visitee was in confinement. The visitee's name is then transmitted in a second query to a digital repository containing release records; a digital response indicates the visitee was released before the call was received. An electronic notification that identifies the visitee is transmitted to a device associated with an agent who is responding to the call.

The subject matter described herein includes methods, systems, and computer readable media for automated attention assessment. According to one method, a method for automated attention assessment includes obtaining head and iris positions of a user using a camera while the user watches a display screen displaying a video containing dynamic region-based stimuli designed for identifying a neurodevelopmental and/or psychiatric (neurodevelopmental/psychiatric) disorder; analyzing the head and iris positions of the user to detect attention assessment information associated with the user, wherein the attention assessment information indicates how often and/or how long the user attended to one or more regions of the display screen while watching the video; determining that the attention assessment information is indicative of the neurodevelopmental/psychiatric disorder; and providing, via a communications interface, the attention assessment information, a diagnosis, or related data.

This document discusses, among other things, an apparatus comprising a pump configured to deliver insulin, a processor, and a user interface including a bistable display. A display element of the bistable display is placed in one of two stable orientations upon application of a biasing voltage and stays in the stable orientation when the biasing voltage is removed. The processor includes a display module configured to display a non-blank reversion display screen on the bistable display when no input is received at the user interface after a specified time duration, and to recurrently change the reversion display screen until input is received at the user interface.

This document discusses, among other things, an apparatus comprising a pump configured to deliver insulin, a processor, and a user interface including a bistable display. A display element of the bistable display is placed in one of two stable orientations upon application of a biasing voltage and stays in the stable orientation when the biasing voltage is removed. The processor includes a display module configured to display a non-blank reversion display screen on the bistable display when no input is received at the user interface after a specified time duration, and to recurrently change the reversion display screen until input is received at the user interface.

Provided are a method and ultrasound diagnosis apparatus for measuring and displaying an elasticity of an object. The ultrasound diagnosis apparatus includes: a processor configured to obtain elasticity data of a measurement target region of an object, calculate elasticity values of a plurality of regions included in the measurement target region based on the elasticity data by using different calculating methods, and combine the calculated elasticity values of the plurality of regions to calculate a final elasticity value; and a display configured to display the final elasticity value.

A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.