Abstract: The present disclosure provides for the division of environmental sounds from speech sounds to extract and analyze the behaviors and activities occurring in the environment; thus expanding and improving the functionality of AI assistant devices. These environmental sounds can be securely uploaded to an electronic chart, and may be used to aid in the treatment of existing conditions or the prophylaxis/mitigation of conditions not yet experienced by a patient under observation. Accordingly, the present disclosure provides for improved functionality in assistant devices and devices linked to the AI assistant devices.

Abstract: Embodiments herein include methods and a device to track and monitor a patient's condition over time to detect a change in a patient condition (including cognitive decline) using personal artificial intelligence (AI) assistants. The present embodiments improve upon the base functionalities of the assistant devices by using engaging with a monitored patient and tracking changes in a patient condition overtime using various learning models to detect changes in the patient's speech, mood, and other conditions.

Abstract: Certain aspects of the present disclosure provide techniques for security management of health information using artificial intelligence assistant by receiving, at an artificial intelligence (AI) assistant device from a requestor in an environment, an utterance including a request to provide health information related to a patient and confirming, via a machine learning model hosted by the AI assistant device, whether an unauthorized person is present in the environment with the AI assistant device, where the unauthorized person is not permitted by the patient to receive the health information but is permitted to interact with the AI assistant device. Further, in response to determining that the unauthorized person is present, generating, by the AI assistant device, an audio deferral that does not include the health information that was requested.

Abstract: Embodiments herein determine when to place a passive assistive call using personal artificial intelligence (AI) assistants. The present embodiments improve upon the base functionalities of the assistant devices by monitoring the usually discarded or filtered-out environmental sounds to identify when a person is in distress to automatically issue an assistive call in addition to or alternatively to monitoring user speech for active commands to place assistive calls. The assistant device may be in communication with various other sensors to enhance or supplement the audio assessment of the persons in the environment, and may be used in a variety of scenarios where prior call systems struggled to quickly and accurately identify distress in various monitored persons (e.g., patients) including falls, stroke onset, and choking.