In accordance with one aspect of the present invention, an optical coherence tomography-based ophthalmic testing center system includes an optical coherence tomography instrument comprising an eyepiece for receiving at least one eye of a user or subject; a light source that outputs light that is directed through the eyepiece into the user's or subject's eye, an interferometer configured to produce optical interference using light reflected from the user's/subject's eye, an optical detector disposed so as to detect said optical interference; and a processing unit coupled to the detector. The ophthalmic testing center system can be configured to perform a multitude of self-administered functional and/or structural ophthalmic tests and output the test 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.

A method for determining a lens and apparatus using the method are disclosed. According to an embodiment, a method for determining a lens to be inserted into an eyeball during lens implant surgery using machine learning may be provided, the method comprising: obtaining a plurality of examination data of a person to be operated on; and determining a size of a lens to be inserted into an eyeball of the person among a plurality of lens sizes by inputting the obtained plurality of examination data of the person to a lens determination model, wherein the lens determination model is different from a formula for determining a lens to be inserted into an eyeball during lens implant surgery, and is trained based on examination data of patients who have had lens implant surgery in the past and size information of lenses inserted into eyeballs of the patients.

A method for determining a lens and apparatus using the method are disclosed. According to an embodiment, a method for determining a lens to be inserted into an eyeball during lens implant surgery using machine learning may be provided, the method comprising: obtaining a plurality of examination data of a person to be operated on; and determining a size of a lens to be inserted into an eyeball of the person among a plurality of lens sizes by inputting the obtained plurality of examination data of the person to a lens determination model, wherein the lens determination model is different from a formula for determining a lens to be inserted into an eyeball during lens implant surgery, and is trained based on examination data of patients who have had lens implant surgery in the past and size information of lenses inserted into eyeballs of the patients.

A system for determining identification of a patient communicating over a computer network with a medical provider with certainty is provided using biometric data captured by said medical provider with subsequent biometric data generated by biometric sensors proximal to a patient. Using previously captured biometric information concerning physical characteristics unique to the patient and comparing such to subsequently generated biometric data from the patient, a medical provider can determine the identity of a patient attempting communication over a computer network with the medical provider.

A system for determining identification of a patient communicating over a computer network with a medical provider with certainty is provided using biometric data captured by said medical provider with subsequent biometric data generated by biometric sensors proximal to a patient. Using previously captured biometric information concerning physical characteristics unique to the patient and comparing such to subsequently generated biometric data from the patient, a medical provider can determine the identity of a patient attempting communication over a computer network with the medical provider.

A method for determining a lens and apparatus using the method are disclosed. According to an embodiment, a method for determining a lens to be inserted into an eyeball during lens implant surgery using machine learning may be provided, the method comprising: obtaining a plurality of examination data of a person to be operated on; and determining a size of a lens to be inserted into an eyeball of the person among a plurality of lens sizes by inputting the obtained plurality of examination data of the person to a lens determination model, wherein the lens determination model is different from a formula for determining a lens to be inserted into an eyeball during lens implant surgery, and is trained based on examination data of patients who have had lens implant surgery in the past and size information of lenses inserted into eyeballs of the patients.

A method for determining a lens and apparatus using the method are disclosed. According to an embodiment, a method for determining a lens to be inserted into an eyeball during lens implant surgery using machine learning may be provided, the method comprising: obtaining a plurality of examination data of a person to be operated on; and determining a size of a lens to be inserted into an eyeball of the person among a plurality of lens sizes by inputting the obtained plurality of examination data of the person to a lens determination model, wherein the lens determination model is different from a formula for determining a lens to be inserted into an eyeball during lens implant surgery, and is trained based on examination data of patients who have had lens implant surgery in the past and size information of lenses inserted into eyeballs of the patients.

A device for visualizing an irido-corneal angle of an eye through a window of a patient interface configured to be placed on the eye includes and optics structure and at least one imaging apparatus. The optics structure is configured to engage with the patient interface to provide a line of sight through the window in the direction of the irido-corneal angle, and to subsequently disengage from the patient interface. The imaging apparatus is associated with the optics structure and aligned with the line of sight to enable capturing an image of the eye including the irido-corneal angle.

A device for visualizing an irido-corneal angle of an eye through a window of a patient interface configured to be placed on the eye includes and optics structure and at least one imaging apparatus. The optics structure is configured to engage with the patient interface to provide a line of sight through the window in the direction of the irido-corneal angle, and to subsequently disengage from the patient interface. The imaging apparatus is associated with the optics structure and aligned with the line of sight to enable capturing an image of the eye including the irido-corneal angle.