A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (“VR”) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.

An electrosurgical system and method for control of an electrosurgical system with an enhanced reality display system wirelessly connected to the gas-enhanced electrosurgical system. The electrosurgical system comprises a gas-enhanced electrosurgical generator, a voice-recognition system connected to said gas-enhanced electrosurgical generator, a robotic system, and an enhanced reality display system wirelessly connected to said gas-enhanced electrosurgical system. The gas-enhanced electrosurgical generator may comprise a power module, a gas control module, and a control module, wherein said control module is configured to provide voice control of said power module and said gas module.

An apparatus may be configured for documenting a code blue scenario when adhered to the chest of a subject undergoing resuscitation by sensing and transmitting information associated with the code blue scenario. Such information may include one or more of vital signs of the subject during resuscitation, information associated with chest movements of the subject during resuscitation, and audio information from an environment of the subject during resuscitation. A computing platform that is separate and distinct from the apparatus may provide code blue documentation conveying information related to the vital signs of the subject and derived from the audio information from the environment of the subject during resuscitation.

Provided is a control device that electrically controls a medical observation apparatus configured to capture an image of an observation target and includes a voice recognition section, a recognized-information processing section, a switch input reception section, and a control section. The voice recognition section recognizes a voice inputted from outside. Based on a result of recognition by the voice recognition section, the recognized-information processing section determines processing to be executed by the medical observation apparatus. The switch input reception section receives an input of an operation signal based on an operation performed on a switch. Upon detecting a first operation signal received by the switch input reception section or upon acquiring information regarding processing determined by the recognized-information processing section, the control section causes the voice recognition section to start voice recognition processing and causes the medical observation apparatus to execute the processing determined by the recognized-information processing section.

A system and a method by which multiple regions or objects of interest can be indicated within an X-ray image, from which a user can select a primary region or object of interest and accordingly adjust the appropriate X-ray dose for obtaining a better quality image of the selected regions or objects of interest.

An apparatus may be configured for providing feedback to caregivers during a code blue scenario when adhered to the chest of a subject undergoing resuscitation by sensing and transmitting information associated with the code blue scenario. Such information may include one or more of vital signs of the subject during resuscitation, information associated with chest movements of the subject during resuscitation, and audio information from an environment of the subject during resuscitation. One or more processors may generate real-time feedback for communication to the caregivers during the code blue scenario based on the sensed and transmitted information.

Methods and systems for administering modular eye tests to a patient via a head mounted display (HMD) device. In some embodiments, the HMD device receives selection of a test module associated with a specific eye test which has been downloaded from an application store, provides instructions to a patient concerning the specific eye test, receives patient input data responsive to the specific eye test instructions, and stores the patient input data in a patient database. In some embodiments, the process also includes the HMD device determining that the test module was selected by the patient, determining that the specific eye test results significantly deviate from a baseline model of the patient and then transmitting the specific eye test results to an eye doctor associated with the patient.

The present disclosure relates to an information processing device, a presentation method, and a surgical system that make it possible to suppress the occurrence of medical accidents. A voice recognition unit counts, through voice recognition, the remaining number of surgical tools existing in the body of the patient and used for a surgical operation, an image recognition unit counts, through image recognition, the remaining number of the surgical tools existing in the body of the patient, and a presentation control unit presents a predetermined warning when a difference arises between a first remaining number counted through the voice recognition and a second remaining number counted through the image recognition. The present disclosure can be applied to surgical systems.

The present invention pertains to the need to precisely identify and communicate a specific position on tissue or an organ with a Virtual Pointing Device (VPD) software tool. The VPD uses a combination of audio key words and the surgeon's hand movements to invoke various functionality.

A method for administering an exposure treatment of a cognitive behavioral therapy (CBT) uses a mobile app and a server application. A user state of a patient undergoing a first step of the CBT based on the patient's condition during the first step is detected by sensors of the patient's smartphone. A situational state of the patient's surroundings during the first step is detected by the smartphone sensors. The mobile app determines whether the patient has made progress performing the first step. A user prompt is generated based on the user state and situational state. A next step of the CBT is configured based on the user state and situational state. The characteristics of the user prompt are generated using machine learning based on past task completions by the patient and other users so as to increase the likelihood that the patient will complete the next step of the CBT.