Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving videoconferencing data of the user from a videoconferencing software; determining one or more multimodal diagnostic features from the videoconferencing data; analyzing the one or more multimodal diagnostic features to determine one or more target datapoints; storing the one or more target datapoints in a data registering apparatus; determining a cumulative severity of health from the one or more target datapoints and the plurality of health datapoints; determining a health anomaly has occurred based on a comparison of the cumulative severity to a predetermined threshold; based on the determined health anomaly, recompiling the one or more target datapoints to confirm the health anomaly; and sending the health anomaly to an external device.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of capturing data from an event; after conclusion of the event, isolating the captured data; analyzing the isolated data to determine one or more categories for the isolated data; extracting one or more facts from the data based on relevance to the event and accuracy; concatenating the one or more facts into knowledge units; grouping related knowledge units based on the one or more determined categories; and creating and training the targeted generative model using the knowledge units, wherein the targeted generative model is trained and operates within a secure, isolated environment, restricted to event-specific data, and while leveraging generative model infrastructure. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving, via the one or more sensors, real-time physiological and behavioral data of the user; analyzing, using a machine learning model, the physiological and behavioral data to determine a cognitive or sensory state of the user; identifying, based on the determined cognitive or sensory state, one or more specific needs of the user; and modifying, based on the one or more identified specific needs, one or more digital environment elements of the communication apparatus to address the cognitive or sensory state of the user. Other embodiments are disclosed herein.

Abstract: An augmented reality (AR) system is disclosed that can include an AR server configured to create an immersive environment superimposed on the physical environment; a patient device configured to monitor a condition data of a patient, wherein the patient device is in communication with the AR server and is configured to transmit the condition data to the AR server; and an AR object processing engine in communication with the AR server. The AR object processing engine can generate and place an AR object in the immersive environment. The AR object can be selected based on a type of the condition data and is configured to display the condition data. One or more user devices in communication with the AR server, wherein at least one of the one or more user devices is configured to view or display the immersive environment, including the AR object, superimposed on the physical environment.

Abstract: A computerized meeting system is configured to provide advanced data to determine the respective skills of meeting participants. The system includes a meeting server configured to host meetings, a plurality of participant devices in communication with the meeting server, a participant skill determination engine in communication with the meeting server and with a host device that is assigned to a meeting host, a first database of participant attributes in communication with the participant skill determination engine, and a second database of participant participation in prior meetings in communication with the participant skill determination engine. The participant skill determination engine is provided a meeting topic by the meeting server during the current meeting, and based on the topic queries the first database and the second database to (a) determine the name of a participant suited to address the topic, and (b) communicate the participant name to the host device.

Abstract: An automated computer-implemented process can be executed by a monitoring server for real-time environmental impact assessment of a distributed computer system. The process includes receiving power metrics from metrics sources, the power metrics representing power usage by resources of the distributed computer system. The process further includes determining environmental impact metrics that represent amounts of CO2 emissions created by the distributed computer system. The process further includes comparing the environmental impact metrics with a CO2 emissions benchmark. The process further includes determining that the environmental impact metrics exceed the CO2 emissions benchmark. The process further includes outputting for display to a participant of a virtual meeting a prompt with a suggestion for executing a remedial measure that reduces CO2 emissions created by the distributed computer system.