A method of automating the collection, association, and coordination of multiple medical data sources using a coordinating service application, computer, database, and/or server system to manage devices, examinations, and people involved in the medical examination and treatment process. In an embodiment, the method comprises authenticating a user for a premises, a device, or a device group, validating particular use of the device based on user credentials or type of device or device group, associating a medical examination with a patient or a medical examination schedule, associating medical examination data from a device or device group with a related medical examination session, routing medical examination data to a computer, database, or server, and pairing medical examination session data with a medical interpretation, clinical testing results, diagnoses, and/or other recorded information.

Optimizing and/or personalizing activities to a user through artificial intelligence and/or virtual reality.

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.

An apparatus, and corresponding method, for determining a property of an eye includes a housing with a proximal port that receives an eye and also light from the eye. The housing further includes a distal port, and the two ports together form a visual channel providing an open view to enable the eye to see target indicia external to and spaced away from the housing. A wavefront sensor within the housing is configured to receive the light from the eye via the optical path and to measure a wavefront of the light. A determination module determines an objective refractive correction based on the wavefront and predicts a subjective refractive preference of a person having the eye based on the objective refractive correction. Embodiments can be handheld, and binocular, and predict subjective refraction based on demographic and other information.

Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual acuity tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.

An eye-tracking device includes an optical device that includes a light source with an optical cavity and a light sensor. The light source is positioned to output coherent light toward an eye of a user and receive at least a portion of the coherent light back from the eye of the user as feedback light. The feedback light enters the optical cavity and causes modulation of an intensity of the coherent light. The light sensor is optically coupled with the light source for detecting the modulated intensity of the coherent light and generating one or more signals based on the detected intensity of the coherent light. The eye-tracking device also includes one or more processors that are coupled to the optical device for determining, from the one or more signals, movement information of the eye. A method of detecting movement of an eye using the eye-tracking device is also disclosed.

In an ophthalmic imaging system an image imaged by an imaging section for a right eye is formed as an imaging image on a display, and then displayed through a right-eye optical unit and a reflection member. An image imaged by an imaging section for a left eye is formed as an imaging image on a display, and then displayed through an optical unit and the reflection member. This thereby enables the object to be visually inspected as a three-dimensional image by the observer viewing the right-eye imaging image and the left-eye imaging image, which differ from each other according to the parallax therebetween, by viewing the respective images through right and left eyes.

A pixel light source apparatus, system and method are disclosed for a stimulus source for visual pathway testing. A representative system includes a plurality of pixel light sources and a control and driver circuit. The pixel light sources are coupled to each other to form a partially-spherical dome, with each pixel light source arranged to emit light directed to a convergent location of the partially-spherical dome. The control and driver circuit implements a selected stimulus protocol to selectively energize each pixel light source to generate light stimulation to any arbitrary or selected portion of the retina of an eye of a human subject. A representative pixel light source comprises at least one elongated and optically opaque side wall; a rear wall; an illumination source; a first optical element defining a first light chamber; and a second optical element defining a second light chamber.

Some implementations disclosed herein provide systems, methods (200), and devices (10) that use a retinal imaging technique to assess a user's eye (45) accommodation (i.e., focus) during use of an electronic device (10), e.g., in real time. One or more light sources (322a-d, 1022a-d) produce one or more illuminated spots (320, 420, 520, 620) on the retina that are detectable via a sensor (324, 1024). The size and shape of the spot(s) (320, 420, 520, 620) depend upon the eye accommodation/focus and thus are used to identify an accommodation/focus change or measure the eye's accommodation/focus. Eye accommodation may be determined in real time while a user is viewing, interacting with, or otherwise experiencing electronic content via the electronic device.

A vision testing device and related technique, the vision testing device including a touch screen, sequentially displaying visual targets on the touch screen while displaying a fixation target whose position is fixed on the touch screen, during a period from the beginning to the end of the test, and providing a test result based on whether a testee taps the visual target or not.