The disclosure provides a system that may receive an identification of a first patient; may retrieve, based at least on the identification of the first patient, first eye identification information that includes a first plurality of iris structures associated with a first eye of the first patient; may determine a second plurality of iris structures of an eye of a current patient; may determine if the second plurality of iris structures match the first plurality of iris structures; if the second plurality of iris structures match the first plurality of iris structures, may provide an indication that the first eye has been correctly identified; and if the second plurality of iris structures do match the first plurality of iris structures, may provide an indication that the first eye has not been correctly identified.

A system for identifying structures in an eye of a subject. In embodiments of the invention, the system has a housing; a visible light source supported by the housing; an infrared light source supported by the housing; a photodetector supported by the housing; a patient interface disposed on an outer surface of the housing arranged and configured so that, when the patient interface is placed in contact with the subject, the subject's eye is aligned with the light sources and the photodetector such that the light sources illuminate an iris of the eye at an angle between 15 and 30 and such that the photodetector receives light from the light sources reflected by the iris; and a controller configured to activate the visible light source and the infrared light source and to obtain image information from the photodetector.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A method of retrieving data comprises receiving a user input in the form of a command, determining that the user input is a gesture, sending a request to a cloud server based on the determined gesture, receiving data from a knowledge base connected to the cloud server based on the request, and displaying virtual content at the user device based on the received data.

A method of retrieving data comprises receiving a user input in the form of a command, determining that the user input is a gesture, sending a request to a cloud server based on the determined gesture, receiving data from a knowledge base connected to the cloud server based on the request, and displaying virtual content at the user device based on the received data.

Optical coherence tomography (OCT) imaging systems, handhold probes, and methods that use a field curvature to match a curved surface of tissue are disclosed. According to an aspect, an OCT imaging system includes optical elements to generate diverging light. The system also includes one or more mirrors and a lens system configured to scan the diverging light onto a curved surface of an object for imaging of the object.

The disclosure provides a system that may acquire, via an image sensor, an image of an eye of a person; may determine a location of an iris of the eye from the image; may determine a position of a suction ring from the image; may display, via a display, the image; may display, via the display, a first graphic overlay on the image that indicates the location of the iris of the eye; may display, via the display, a second graphic overlay on the image that indicates the position of the suction ring; may determine multiple iris structures from the image; may determine an orientation of the eye based at least on the multiple iris structures from the image; and may display, via the display, information that indicates the orientation of the eye.

A method of predicting a blood glucose level of a user, comprising: obtaining, by an image capturing device, an iris image of the user; training a first convolutional neural network of a computing device using the iris image as an input to obtain a classification of the iris image; training a second convolutional neural network of the computing device using the classification and the iris image to extract an iris feature vector; and predicting, by the computing device, the blood glucose level of the user based on the iris feature vector.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.