Abstract: In some implementations, a device may produce, via an x-ray module, x-rays to be directed towards a body part. The device may detect, via a sensor, the x-rays reflected from the body part. The device may generate, via the sensor, signals based on the x-rays reflected from the body part. The device may generate, via a processor, an x-ray image of the body part based on the first signals. The device may transmit the x-ray image to a server. The device may receive, from the server, a message that indicates a diagnosis associated with the x-ray image. The device may display, via a user interface, the x-ray image and information associated with the diagnosis associated with the x-ray image.

Abstract: In some implementations, a device may produce, via an x-ray module, x-rays to be directed towards a body part. The device may detect, via a sensor, the x-rays reflected from the body part. The device may generate, via the sensor, signals based on the x-rays reflected from the body part. The device may generate, via a processor, an x-ray image of the body part based on the first signals. The device may transmit the x-ray image to a server. The device may receive, from the server, a message that indicates a diagnosis associated with the x-ray image. The device may display, via a user interface, the x-ray image and information associated with the diagnosis associated with the x-ray image.

Abstract: A system may include a memory device, a computing device and a sensor. The memory device may include a first partition and a second partition. The first partition stores first data of a first user at a first security level. The second partition is configured to store second data of the first user at a second security level different from the first security level. The computing device may include at least one processor that implements a machine learning algorithm. The sensor may be configured to provide information to the computing device. The machine learning algorithm analyzes the information from the sensor to determine an occurrence of an event. Based on a determination of the occurrence of the event, the computing device provides access to at least one of the first data or the second data to a second user.

Abstract: In some implementations, the disclosed systems and methods can capture visual frames and an object manager can recognize a visual signal within the captured visual frames, such as a QR code. In some implementations, the disclosed systems and methods can participate in a private conference within a session.

Abstract: In some implementations, a device may produce, via an x-ray module, x-rays to be directed towards a body part. The device may detect, via a sensor, the x-rays reflected from the body part. The device may generate, via the sensor, signals based on the x-rays reflected from the body part. The device may generate, via a processor, an x-ray image of the body part based on the first signals. The device may transmit the x-ray image to a server. The device may receive, from the server, a message that indicates a diagnosis associated with the x-ray image. The device may display, via a user interface, the x-ray image and information associated with the diagnosis associated with the x-ray image.

Abstract: A communication system enables users to select between individuals for tracking during video calls based on remote control input. The communication system establishes a video call session between a local client device and one or more remote client devices. The communication system uses a facial recognition algorithm to detect one or more faces from video data and obtains an identifier to each face. The communication system selects a first identifier. The communication system receives a navigation input from a remote control coupled to the communication system and, based on the input, selects a second identifier. The communication system receives an operation input and applies a center of focus of the video data to a second face corresponding to the second identifier.