Abstract: Systems and methods for physical therapy are presented herein. The technology provides systems and methods of utilizing computer vision, consumer computer and smartphone cameras, human pose estimation algorithms, and artificial intelligence to provide remote physical therapy.

Abstract: Systems and methods for physical therapy and training delivery are presented herein. These technologies may comprise notifying a patient of a scheduled prescribed activity via an on-location at least one client device or console; identifying the patient with one or more sensors connected to or part of the at least one client device or console; confirming, via the at least one client device or console, the patient's acknowledgment of the notification; demonstrating, via a graphical interactive avatar displayed on the at least one client device or console, the prescribed activity to be carried out by the patient; confirming, via the at least one client device or console, that the patient is undertaking or will be undertaking the prescribed activity; capturing, via the one or more sensors, frames of the patient undertaking the prescribed activity; and processing frames of the patient undertaking the prescribed activity.

Abstract: Exemplary embodiments include an intelligent secure networked health messaging system configured by at least one processor to execute instructions stored in memory, the system including a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a patient's computing device and the health analytics system communicatively coupled to a deep neural network, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the patient, the request processed by the batching service transparently to the patient such that the patient can continue to use a patient facing application without disruption, and the patient-facing application having an audio sensor and a computer video sensor.

Abstract: A conversational interface system including an interactive virtual avatar and method for completing and updating fillable forms and database entries. The conversational interface provides a user with the option of inputting data in either text or voice form, and logs user response data and populates fields within form documents. As the user progresses through the system, instructions and guidance are consistently provided via the interactive avatar presented within the system web browser. Without exiting the system, the conversational interface validates user input data types and data while updating entries within cloud-based databases.

Abstract: Provided herein are exemplary embodiments including a secure intelligent networked architecture for real-time precision care plan remote support including a secure intelligent data receiving agent having a specialized hardware processor and a memory, the secure intelligent data receiving agent configured to automatically receive a digital data element over a network from a Bluetooth® equipped peripheral device, the digital data element representing an output in response to a predetermined plan, the secure intelligent data receiving agent caching the digital data element within a non-relational database for short term storage and the secure intelligent data receiving agent configured to process the digital data element using a serverless compute functionality and configured with logic for anomaly detection.

Abstract: Systems and methods for physical therapy and training delivery are presented herein. These technologies may comprise notifying a patient of a scheduled prescribed activity via an on-location at least one client device or console; identifying the patient with one or more sensors connected to or part of the at least one client device or console; confirming, via the at least one client device or console, the patient's acknowledgment of the notification; demonstrating, via a graphical interactive avatar displayed on the at least one client device or console, the prescribed activity to be carried out by the patient; confirming, via the at least one client device or console, that the patient is undertaking or will be undertaking the prescribed activity; capturing, via the one or more sensors, frames of the patient undertaking the prescribed activity; and processing frames of the patient undertaking the prescribed activity.

Abstract: Provided herein are exemplary embodiments including a secure intelligent networked architecture for real-time precision care plan remote support including a secure intelligent data receiving agent having a specialized hardware processor and a memory, the secure intelligent data receiving agent configured to automatically receive a digital data element over a network from a Bluetooth® equipped peripheral device, the digital data element representing an output in response to a predetermined plan, the secure intelligent data receiving agent caching the digital data element within a non-relational database for short term storage and the secure intelligent data receiving agent configured to process the digital data element using a serverless compute functionality and configured with logic for anomaly detection.

Abstract: Exemplary methods are provided for real-time assessment of a potential risk of an infectious disease, including receiving a predetermined acceptable range for an aspect of a human user's physiological measurement data, receiving a predetermined acceptable answer for a survey response question, securely receiving an aspect of the human user's physiological measurement data, determining if the aspect of the human user's physiological measurement data is within the predetermined acceptable range, if the aspect of the human user's physiological measurement data is within the predetermined acceptable range, transmitting to the human user a survey comprising a question, if the aspect of the human user's physiological measurement data is not within the predetermined acceptable range, transmitting an active alert and not providing the human user with the survey comprising a question, and if the human user fails to transmit an acceptable answer to the survey comprising the question, transmitting an active alert.

Abstract: Provided herein are exemplary embodiments including a secure intelligent networked architecture for real-time precision care plan remote support including a secure intelligent data receiving agent having a specialized hardware processor and a memory, the secure intelligent data receiving agent configured to automatically receive a digital data element over a network from a Bluetooth® equipped peripheral device, the digital data element representing an output in response to a predetermined plan, the secure intelligent data receiving agent caching the digital data element within a non-relational database for short term storage and the secure intelligent data receiving agent configured to process the digital data element using a serverless compute functionality and configured with logic for anomaly detection.

Abstract: A system for monitoring and detecting the gait and other health related parameters of a user. One such parameter is monitoring of medication compliance and treatment session attendance done by a medication and liquid dispensing apparatus, which combines mechanical dispensing of medication. These parameters are provided in standard of care summaries to care providers, and are continually reported by the Optimum Recognition Blueprint as Standard of Care Summaries to care providers, as well as communicated to the end-user by the Virtual Caregiver Interface.

Abstract: Systems and methods for physical therapy and training delivery are presented herein. These technologies may comprise notifying a patient of a scheduled prescribed activity via an on-location at least one client device or console; identifying the patient with one or more sensors connected to or part of the at least one client device or console; confirming, via the at least one client device or console, the patient's acknowledgment of the notification; demonstrating, via a graphical interactive avatar displayed on the at least one client device or console, the prescribed activity to be carried out by the patient; confirming, via the at least one client device or console, that the patient is undertaking or will be undertaking the prescribed activity; capturing, via the one or more sensors, frames of the patient undertaking the prescribed activity; and processing frames of the patient undertaking the prescribed activity.

Abstract: An application system capable of providing a continuation of care for a user. This is achieved through the assessing of medication compliance, assessing medical testing compliance and providing appropriate care suggestions. The system incorporates medication reminder, medication compliance analytics and the capacity to provide responses to user specific medication inquiries. The system also incorporates medical test assessment capabilities and the capacity to provide basic medical testing protocols. Additionally, as medication and medical testing data are collected, processed and analyzed, they are stored in a zero-click fashion with results being rapidly presented back to the user via an interactive avatar. These data can also be provided in standard of care summaries to users, HIPAA compliant third parties and/or medical care providers.

Abstract: Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment. Embodiments comprise: storing the health data of the user in a retrieval database; receiving an audio input using a web-browser based AR, animated, conversational graphical user interface, the audio input comprising keywords; determining a domain of use based on processing the keywords of the audio input; processing the health data of the user, the keywords, and the domain of use to determine a medical assessment for the user; determining personalized medical services for the user based on the medical assessment; providing the user with access to the personalized medical services using the web-browser based AR, animated, conversational graphical user interface; and displaying a status of the personalized medical services to the user using the graphical user interface.

Abstract: Exemplary embodiments provided herein include an intelligent secure networked health messaging system configured by at least one processor to execute instructions stored in memory, the system comprising, a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a patient's computing device and the health analytics system communicatively coupled to a deep neural network, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the patient, the request processed by the batching service transparently to the patient such that the patient can continue to use a patient facing application without disruption, the patient-facing application having an audio sensor and a computer video sensor, the application server layer including a high speed data

Abstract: Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment.

Abstract: Exemplary embodiments include an intelligent secure networked health messaging system configured by at least one processor to execute instructions stored in memory, the system including a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a patient's computing device and the health analytics system communicatively coupled to a deep neural network, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the patient, the request processed by the batching service transparently to the patient such that the patient can continue to use a patient facing application without disruption, and the patient-facing application having an audio sensor and a computer video sensor.

Abstract: Exemplary embodiments include an intelligent secure networked health messaging system configured by at least one processor to execute instructions stored in memory, the system including a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a patient's computing device and the health analytics system communicatively coupled to a deep neural network, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the patient, the request processed by the batching service transparently to the patient such that the patient can continue to use a patient facing application without disruption, and the patient-facing application having an audio sensor and a computer video sensor.

Abstract: Exemplary embodiments include an intelligent secure networked health messaging system configured by at least one processor to execute instructions stored in memory, the system including a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a patient's computing device and the health analytics system communicatively coupled to a deep neural network, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the patient, the request processed by the batching service transparently to the patient such that the patient can continue to use a patient facing application without disruption, and the patient-facing application having an audio sensor and a computer video sensor.

Abstract: Exemplary embodiments provided herein include an intelligent secure networked health messaging system including a data retention system and a health analytics system, the health analytics system performing asynchronous processing with a user's computing device, a web services layer providing access to the data retention and the health analytics system, a batching service, wherein an application server layer transmits a request to the web services layer for data, the request processed by the batching service transparently to the user, the request processed by the batching service transparently to the user such that the user can continue to use a user-facing unity application without disruption, the application server layer including a high speed data corridor established between the application server layer and the user's computing device that provides the user-facing unity application that accesses the data retention and the health analytics system through the web services layer, and performs processing based

Abstract: Exemplary embodiments include a computing device configured to dynamically display a specific, structured interactive animated conversational graphical user interface paired with a prescribed functionality directly related to the interactive graphical user interface's structure. Also included is a first computer vision model and a second computer vision model. The first computer vision model is configured to track a hand of a human being, and the second computer vision model is configured to track a face of a human being. The computing device is programed with heuristic logic. The heuristic logic infers if (i) the hand is visible, (ii) the face is visible, (iii) the back of the hand is visible, and (iv) the face is occluded, then a medication has been taken by a human.