A61B3/1241

SYSTEMS AND METHODS FOR CLASSIFYING OPHTHALMIC DISEASE SEVERITY

Methods and systems for identifying levels of an ophthalmic disease are described. An example method includes generating, by a convolutional neural network (CNN) and using a 3D image of a retina, a vector. The method further includes generating, by a first model and using the vector, a first likelihood that the retina exhibits a first level of an disease and generating, by a second model and using the vector, a second likelihood that the retina exhibits a second level of the disease. The method further includes determining whether the retina exhibits an absence of the ophthalmic disease, the first level of the disease, or the second level of the disease based on the first likelihood and the second likelihood. Further, an indication of whether the retina exhibits the absence of the ophthalmic disease, the first level of the ophthalmic disease, or the second level of the ophthalmic disease is output.

SWIVEL HOSE COUPLING WITH OUTER GRIP

A water hose coupling having a swivel grip is provided. A first coupling portion with a male threaded end integral with a first larger diameter base is connected to a second coupling portion through a freely rotating connection. The second coupling portion includes a second larger diameter base. The second coupling portion further includes a coupling protrusion integral with the second larger diameter base. The coupling protrusion may have one or more barbs to interface with a hose or a threaded female coupling to interface with a male threaded connector. The coupling is connected to an end of a hose to which accessories may be attached. An outer sleeve is connected to the first larger diameter base of the first coupling portion and can freely rotate with the first coupling portion around the remainder of the apparatus and hose. The outer sleeve acts as an ergonomic grip for users to hold and rotate when using the hose and installing accessories.

Prism array and apparatus for eye-imaging system

A prism array light redistribution apparatus for an eye imaging system including light transmitting fibers, light receiving fibers, and a micro prism array optically coupled to bridge the light transmitting fibers and the light receiving fibers. The array may be further configured to receive light having a bell-shaped angular distribution from the light transmitting fibers and refract the received light to enter the light receiving fibers such that a square-shaped angular distribution of light emits from a light emitting end of the light receiving fibers.

Augmented and virtual reality display systems and methods for diagnosing health conditions based on visual fields

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.

FUNDUS IMAGE PROCESSING DEVICE AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING COMPUTER-READABLE INSTRUCTIONS

A processor of a fundus image processing device acquires a fundus image 50 photographed by a fundus image photographing device. The processor acquires blood vessel images 60A and 60B that indicate at least one of an arteriole and a venule in the fundus image 50 by inputting the fundus image 50 into a mathematical model trained by a machine learning algorithm. The processor acquires a blood vessel area that is an area of at least one of the arteriole and the venule in the whole of the blood vessel images 60A and 60B.

Visual field simulation using optical coherence tomography and optical coherence tomographic angiography

Disclosed herein are methods for simulating the results of a visual field (VF) test using an optical coherence tomography (OCT) system. The disclosed methods may utilize structural information extracted from OCT image datasets, such as thickness measurements, or may utilize functional information, such as blood perfusion measurements, extracted from OCT angiography (OCTA) image datasets. Other embodiments may be described and claimed.

Non-invasive measurement of intraocular pressure
11406264 · 2022-08-09 · ·

Devices, systems and methods are described for non-invasively monitoring and/or measuring or estimating intraocular pressure. Medical or diagnostic methods embodiments described herein include high resolution imaging of the sclera of one or both of a patient's eyes using digital photography or videography. The hardware employed may be for two-dimensional (2D) or three-dimensional (3D) imaging.

NON-LEAKING OR MINIMALLY-LEAKING CHOROIDAL OR RETINAL REVASCULARIZATION
20220218791 · 2022-07-14 ·

Disclosed herein include methods, kits, formulations, and compositions for increasing choroidal or retinal perfusion or promoting non-leaking or minimally-leaking choroidal or retinal revascularization in a subject in need thereof. An effective amount of an angiogenesis factor (e.g., a pro-angiogenic factor and/or a vascular maturation factor) can be administered to the subject.

Early disease detection and therapy
11419543 · 2022-08-23 ·

A method for early stage pathology detection, location, imaging, evaluation, and treatment of cells and/or extracellular vesicles in the circulation.

TECHNIQUES FOR SENSORLESS ADAPTIVE OPTICS OPTICAL COHERENCE TOMOGRAPHY

Disclosed are methods and systems for adaptive optics (AO)-optical coherence tomography (OCT) and OCT angiography (OCTA). Embodiments include techniques to generate one or more volumetric and/or depth-resolved figures of merit to guide optimization of ocular aberrations in sensorless AO-OCT and/or AO-OCTA. The one or more figures of merit may be generated in real-time, e.g., in parallel with the OCT scan and/or aberration optimization process. Other embodiments may be described and claimed.