The present invention generally relates to apparatus, software and methods for assessing ocular, ophthalmic, neurological, physiological, psychological and/or behavioral conditions. As disclosed herein, the conditions are assessed using eye-tracking technology that beneficially eliminates the need for a subject to fixate and maintain focus during testing or to produce a secondary (non-optical) physical movement or audible response, i.e., feedback. The subject is only required to look at a series of individual visual stimuli, which is generally an involuntary reaction. The reduced need for cognitive and/or physical involvement of a subject allows the present modalities to achieve greater accuracy, due to reduced human error, and to be used with a wide variety of subjects, including small children, patients with physical disabilities or injuries, patients with diminished mental capacity, elderly patients, animals, etc.

A system and method for ophthalmic surgery in which a light field camera is used to capture a digital image of the surgical field including the eye. The digital image is used to create image information and directional information, which is then used to from a three dimensional (3D) image with motion parallax.

The invention relates to an artificial intelligence cataract analysis system, including a pattern recognition module for recognizing a photo mode of an input eye image, wherein the photo mode is divided according to the slit width of the illuminating slit during photographing of the eye image and/or whether a mydriatic treatment is carried out; a preliminary analysis module used for selecting a corresponding deep learning model for eye different photo modes, analyzing the characteristics of lens in the eye image by using a deep learning model, and further performing classification in combination with cause and severity degree of a disease. The invention can perform cataract intelligent analysis on eye images with different photo modes by using deep learning models, so that the analysis accuracy is improved.

Systems and methods for performing laser cataract surgery, for using a biometric system to determine a material property of a structure of the eye, laser pulses in a laser shot pattern having different powers. A therapeutic laser, and laser delivery system having the capability to vary the power of the laser beam.

The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

This patent describes a machine that allows patients with a single, central scotoma to receive an acceptable but sub-optimal refraction for the badThanks. eye based on previous refraction values, current refraction of the Good Eye, cataract characteristics, and subjective judgements of whether the patient can identify optotypes after incremental changes in refraction.

The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

Certain embodiments provide a method of generating a color-corrected ophthalmic image. The method comprises obtaining an ophthalmic image of an eye with a nuclear sclerotic cataract or a tinted intraocular lens (IOL). The method further comprises determining color-shift information associated with the ophthalmic image based on at least one of user input and by processing the obtained image, the color-shift information indicative of the extent to which color in the obtained image is to be corrected to at least partially remedy the effect of the nuclear sclerotic cataract or the tinted IOL on the color of the obtained image. The method further comprises color-correcting the ophthalmic image based on the color-shift information. The method further comprises generating the color-corrected ophthalmic image based on the color-correcting.

An apparatus and system for monitoring and treating cataracts, the apparatus comprising: a monitoring light source configured to monitor cataracts by emitting monitoring light in the wavelength range of 350 to 410 nm to excite fluorescence light in the cataracts, a treating light source configured to treat cataracts by emitting treating light in the wavelength range of 400 to 570 nm to irradiate the cataracts, a wavelength selection system configured to monitor cataracts by selecting wavelengths of the excited fluorescence light in the cataracts and a dichroic beam splitter configured to reflect the monitoring light and the treating light towards the cataracts and the excited fluorescence light in the cataracts towards the wavelength selection system, wherein the monitoring light, the treating light and the excited fluorescence light are reflected by the dichroic beam splitter along a common optical axis and wherein the dichroic beam splitter is arranged at 45 degrees to the common optical axis to transmit wavelengths longer than wavelengths of the monitoring light, the treating light and the excited fluorescence light towards an operator of the apparatus.