A shunt valve for removing biofluid from an eye of a user, the valve including a tubular body defining an inlet and a plurality of outlets formed through a wall of the tubular body; a plunger accommodated within the tubular body and fluidically coupled to the inlet; wherein the plunger is movable relative to the plurality of outlets; and an energized material coupled to the plunger and the tubular body; wherein the energized material is compressible to expose a portion of the plurality of outlets dependent on the pressure applied to the energized material.

An ophthalmic imaging apparatus includes an OCT optical system that detects an interference signal between measurement light with which a subject eye is irradiated and reference light, and acquires OCT data of the subject eye by processing the interference signal, a scanner that scans with the measurement light on a scanning line on the subject eye, and a processor. The processor determines whether or not the OCT data acquired on the scanning line is proper, controls the scanner based on a determination result to change the scanning line for the measurement light to the next scanning line, and interpolates an alternative to OCT data determined not to be proper, based on OCT data corresponding to scanning lines around a scanning line on which the OCT data determined not to be proper is acquired.

Systems and methods are disclosed to inspect an eye includes capturing an eye image using a mobile device camera; extracting features of the eye; applying a deep learning neural network to detect the eye for identification.

A telemedicine system with dynamic imaging is disclosed herein. In some embodiments, the telemedicine system comprises a laser imaging and treatment apparatus, and associated systems and methods that allow a physician (e.g., a surgeon) to perform laser surgical procedures on an eye structure or a body surface with a laser imaging and treatment apparatus disposed at a first (i.e. local) location from a control system disposed at a second (i.e. remote) location, e.g., a physician's office. Also, in some embodiments, communication between the laser imaging and treatment apparatus and control system is achieved via the Internet®. Further, in some embodiments, the telemedicine system includes a dynamic imaging system and/or a facial recognition system that verifies the identity of a patient, and is capable of being used for other important applications, such as tracking and analyzing trends in a disease process.

The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.

An artificial intelligence eye disease screening and diagnostic system based on an ophthalmic robot, comprising a human eye positioning analysis module, an image information collection module, an AI picture quality monitoring module, an eye disease analysis and diagnosis module, a data storage management module, and an execution control module. The system can replace ophthalmologists to perform eye disease diagnosis tasks in regions lacking ophthalmologists, and assists the ophthalmologists in eye disease screening and diagnosis in large hospitals with a large number of patients, thus improving diagnosis efficiency.

Systems and methods are disclosed to inspect an eye includes capturing an eye image using a mobile device camera; extracting features of the eye; applying a deep learning neural network to detect potential eye damage; and reporting the potential eye damage for treatment, such as those from laser pointers, among others.

A subjective optometry system includes a plurality of subjective optometry devices and a database which stores at least any data of objective measurement data and previous glass data in association with each identifier.

Each of the subjective optometry devices includes a calibration optical system, an information processor, and a reader which is connected to the information processor, reads an identifier prepared for each examinee, and outputs information about the read identifier to the information processor. The information processor acquires at least one of the objective measurement data and the previous glass data corresponding to the identifier from the database based on the identifier received from the reader, and sets an initial value of the calibration optical system used on an occasion of subjectively measuring optical characteristics of a subject eye based on at least one of the objective measurement data and the previous glass data.

Systems and methods are disclosed for assessing user physiology via eye tracking data. One method includes determining a plurality of visual assessments; determining, for each assessment of the plurality of visual assessments, a data schema, where at least one data schema is associated with more than one assessment of the plurality of visual assessments; storing the determined data schema; receiving user eye tracking data associated with a selected visual assessment of the plurality of visual assessments; determining, of the stored data schema (a), a selected stored data schema associated with the selected visual assessment; categorizing the received eye tracking data based on the selected stored data schema; computing quantitative data based on the categorized data and data related to one or more individuals other than the user; generating a report of user physiological function based on the computed quantitative data; and outputting the report to a web portal.

A system includes system housing, an eccentric radiation source, and a radiation sensor. The radiation produced by the eccentric radiation source can be collected by the radiation sensor to generate images of retinas for a patient. The system also includes a vision screening device connected with the eccentric radiation source and the radiation sensor via the system house that can control and synchronize actions for the eccentric radiation source and the radiation sensor. The vision screening device further analyzes the images generated by the radiation sensor via neural network algorithms to determine spherical error slopes, refractive errors, and recommendations for the patient.