2153 results about "OPHTHALMOLOGICALS" patented technology

The invention provides a dynamic myopia management lens prescription customization method and system, and relates to the technical field of lens design and customization. According to the dynamic myopia management lens prescription customization technology provided by the invention, ophthalmic basic data of a patient is acquired; then periodically follow-up the patient to obtain ophthalmology measurement follow-up data of the patient; the joint evaluation model dynamically updates a myopia risk evaluation grade of the patient based on ophthalmology basic data and ophthalmology measurement follow-up visit data; and finally, dynamically updating the lens prescription based on the myopia risk assessment level of each time by the joint assessment model. According to the technical scheme, the combined evaluation model can perform dynamic lens prescription adjustment according to follow-up visit ocular axis progress and choroid change conditions, dynamic myopia management lens prescription customization, whole-course tracking of a myopia cycle and individualized prevention and control management are realized, and thus the effectiveness and continuity of myopia prevention and control are improved.

Disclosed herein are methods and devices for generating a trained generative foundation model for medical diagnosis, as well as using the trained generative foundation model for the detection of diseases and disorders including ophthalmic and systemic diseases. System and non-transitory computer-readable storage medium configured for performing the methods are also disclosed.

The present disclosure is directed to methods for manufacturing ophthalmic lenses utilizing a freeform process, the method comprising: machining a lens blank, semi-finished lens blank and / or an intermediate ophthalmic lens precursor to form a surface of the spectacle lens with at least a portion of the surface comprising a curvature for the correction of the myopic prescription of the wearer; machining a pattern of a plurality of optical elements and / or spaces therebetween on the surface of the spectacle lens suitable for delivering an effective optical signal to the retinal receptors of a progressive myope to slow, significantly slow, stop and / or shorten / regress the progression of axial eye length growth; and / or polishing the surface of the spectacle lens; wherein, after polishing the spectacle lens, at least one of the plurality of optical elements may have a relative surface elevation change per millimeter interval substantially greater than at least a portion of the prescription surface over a comparable interval. The present disclosure is also directed devices and systems manufactured using the described manufacturing methods.

The invention relates to the technical field of medical image processing, and discloses a fundus focus segmentation method, system and device based on an uncertainty OCT image and a medium, and the method comprises the steps: constructing an encoder-decoder network architecture; an uncertainty guiding module is embedded into the tail end of the encoder, an uncertainty graph is generated, and weighted enhancement is carried out on input features; a cross-layer fusion module is embedded in the jump connection of the encoder and the decoder, features of different levels are processed through parallel maximum value fusion and multiplication fusion branches, and fusion features are generated and then transmitted to the decoder; performing independent uncertainty quantization at the tail end of the decoder to generate an uncertainty graph of each lesion category; and combining the target-level uncertainty excitation loss function and the pixel-level uncertainty loss function, and optimizing network parameters through a total loss function. According to the method, the automatic identification and segmentation performance of a complex focus area can be remarkably improved, and accurate quantitative analysis of ophthalmic diseases is facilitated.

An ophthalmic lens configured to correct and / or treat at least one condition of the eye (e.g., presbyopia, myopia, hyperopia, astigmatism, binocular vision disorders, night vision image quality, and / or visual fatigue syndrome) comprising: a base power profile; and at least one pulse selected to modify the base power profile.

The invention relates to the technical field of medical image segmentation, and particularly discloses a pathological myopia analysis method and system based on multi-task learning, and the method comprises the steps: inputting a pathological myopia eye bottom image into a shared feature encoder for feature extraction, and obtaining an image embedding vector; the shared feature encoder is based on a Swin Transform architecture, and the rank value of the LoRA parameter is dynamically adjusted through the information entropy; performing feature enhancement on the image embedding vector through a layered progressive head attention module to obtain an enhanced image embedding vector; and inputting the enhanced image embedding vector into a multi-task solution terminal to obtain an analysis result. According to the method, the diagnosis precision and the calculation efficiency can be remarkably improved, powerful technical support is provided for automatic diagnosis and personalized treatment of ophthalmic diseases, and wide application of the intelligent medical technology in clinical practice is promoted.

A soaking device and methods of using are used to cool and / or to heat a face of a person for a purpose of inducing a desired and / or intended outcome in that person. The cooling and / or the heating of the face may be sufficient to induce the desired and / or the intended outcome in that person. The desired and / or intended outcome may relate to: release of at least one type of neurotransmitter; trigeminal nerve stimulation; (indirect) vagus nerve stimulation; transdermal drug delivery; bypass of the blood-brain-barrier (BBB); aesthetic medicine; cardiovascular; dermatological; ears, nose, and throat (otolaryngological); ophthalmological; neurological; psychological; endocrinological; and / or rheumatological benefits to that person. At least one step of the method may include receiving at least some of the face within an immersion-liquid for at least a minimum amount of time while the immersion-liquid is within a temperature-range and while the immersion-liquid is within the soaking device.

The invention provides an ophthalmic disease prediction model training method and electronic equipment, and the method comprises the steps: obtaining ophthalmic image data and label data corresponding to the ophthalmic image data; preprocessing the ophthalmology image data to obtain a plurality of image blocks with different scale levels; learning the space offset of each sampling point on each image block through the convolution operation of the stacked adaptive gradient modulation convolution layer, adjusting the original convolution kernel weight of the stacked adaptive gradient modulation convolution layer based on the space offset, and transforming the plurality of image blocks with different scale levels to obtain a morphological enhancement feature map; inputting the morphological enhancement feature map into a mixed attention feature extraction module to obtain a small focus enhancement feature map, and performing dimensionality reduction to obtain a feature vector; and inputting the feature vector and the tag data into a full-connection classifier, outputting a disease category prediction probability, and when a training stop condition is met, completing training of the multi-branch convolutional neural network, forming an ophthalmic disease prediction model, and improving the recognition accuracy of minimal lesions.

The invention relates to an intelligent eyelid fixing and tear flow guide composite device, which belongs to the technical field of medical instruments and comprises an arc-shaped main body frame, a multi-section pressure sensing fixing wing, a miniature liquid guide groove, a humidity compensation module and a central control unit. The multi-section pressure sensing fixed wing can be dynamically attached to the shape of an eyelid and is matched with the flexible contact layer to achieve biomechanical self-adaptive adjustment, and contact pressure is evenly dispersed. The miniature liquid guide groove serves as an efficient tear drainage path, and tears are rapidly discharged in combination with negative pressure suction. The humidity compensation module accurately covers the cornea surface through an annular atomization nozzle, and the ocular surface is kept moist. And the central control unit is used for monitoring in real time and adjusting fixed pressure, atomization intensity and negative pressure parameters in a linkage manner to form an intelligent feedback closed loop. The device solves the problems that a traditional rigid eye speculum is uneven in pressure distribution, low in tear management efficiency, poor in dissection adaptability and the like, the steady state maintaining effect of the ocular surface microenvironment in an ophthalmologic operation can be improved, and tissue damage and operation interruption are reduced.

The invention provides an optic disk real-time continuous tracking method and device, and relates to the technical field of medical image processing. According to the method, the video sequence of the ophthalmologic operation is acquired and preprocessed, and then the preprocessed video sequence is subjected to multi-scale feature extraction and optic disc target detection, so that an optic disc detection target is obtained; the optic disk detection target is based on Kalman filtering prediction and appearance feature matching, an adaptive gating matching mechanism is introduced to carry out inter-frame target trajectory association, a target trajectory is maintained in combination with an appearance feature cache updating mechanism and ReID cosine similarity retrieval, and a trajectory tracking result is output; wherein the trajectory tracking result comprises a continuous tracking result of the optic disc position, the confidence coefficient, the trajectory identifier and the timestamp. According to the invention, the detection precision of the small-scale optic disc is improved, the shielding recovery and track continuity are enhanced, and high-precision, high-robustness and real-time optic disc continuous tracking is realized in complex operation scenes of strong reflection, low contrast, local shielding and the like.

The invention discloses a focus recognition system and method for a diabetic retinopathy image, and relates to the technical field of medical image processing, and the system comprises a fundus image collection module, an image feature processing module, a focus feature extraction module, a network model training module and a focus model recognition module. By integrating the fundus image collection module, the image feature processing module, the lesion feature extraction module, the network model training module and the lesion model recognition module, full-process automation from original fundus image acquisition to lesion intelligent recognition is realized, and the efficiency of diabetic retinopathy lesion recognition is remarkably improved; in addition, errors possibly caused by manual intervention are reduced, the accuracy and consistency of recognition results are ensured, specifically, the fundus image collection module can automatically obtain images from ophthalmology equipment or a hospital image storage system, format unification and index construction are carried out, and great convenience is provided for follow-up processing.

An ophthalmological device and system is described that allows the simultaneous imaging of an eye using both scanning laser ophthalmoscopy (SLO) and optical coherence tomography (OCT). Further the device and system is capable of targeting and delivering a treatment laser for treatment of an eye condition.

A visualization system for dynamically visualizing an eye includes a laser module operable for outputting a primary laser beam along a beam axis, a beam splitter positioned in the beam axis and configured to direct a first beam portion along the beam axis and a second beam portion along a detection axis that is orthogonal to the beam axis. A microelectromechanical system (MEMS) scanner is arranged on the beam axis and configured, in response to the first beam portion, to output a scanning laser along a visualization path. An avalanche photodiode (APD) detector receives the second beam portion. A 4F correlator optical system has a spatial filter arranged along the visualization path. An optional optical flat may be disposed between the eye and the 4F correlator optical system to achieve stereo parallax.

A topical ophthalmological composition includes a muscarinic receptor antagonist as an active pharmaceutical ingredient; and medium chain triglycerides (MCTs) or light liquid paraffin oil as liquid vehicle. The topical ophthalmological composition treats an ocular disease.

An ophthalmic apparatus includes an objective optical system, an illumination optical system, a photographic optical system, a photographing unit, a movement mechanism, and a three-dimensional position identifying unit. The objective optical system is configured to optically relay a measurement position where a pupil of an eye of an examinee can be disposed. The illumination optical system is configured to irradiate illumination light onto the eye through the objective optical system. The photographic optical system is configured to receive returning light of the illumination light from the eye through the objective optical system. The photographing unit includes two or more cameras disposed so as to include a position, that is substantially conjugate optically to the measurement position relayed by the objective optical system, within a field of vision. The movement mechanism is configured to relatively move the objective optical system, the illumination optical system, the photographic optical system, and the photographing unit relative to the eye. The three-dimensional position identifying unit is configured to identify a three-dimensional position of the eye based on two or more photographic images of the eye acquired by the photographing unit.

The invention relates to the technical field of multi-modal ophthalmology image analysis, and particularly discloses a multi-modal ophthalmology image analysis method, model and system based on optimal transmission image diffusion and a medium thereof.The method at least comprises the steps that S100, the distance between fundus color photo and OCT image modals is explicitly calculated through an optimal transmission algorithm, and the distance between fundus color photo and OCT image modals is calculated; carrying out collaborative evolution on the features in a continuous time domain in combination with a graph neural network and a Sheng differential equation model; and step S200, applying self-attention and cross attention in parallel, reserving modal specificity with low-layer fine granularity, and progressively fusing the color photo texture and the OCT depth structure in a high layer to realize cross-layer long-range dependent depth semantic fusion. The method not only promotes the leading-edge development of multi-modal medical image analysis, but also provides important scientific basis and technical support for constructing a high-precision and high-robustness intelligent ophthalmology diagnosis system.

In some embodiments provided herein is a generative foundation model trained over millions of health system-scale electronic health records along with web-scale medical text corpora to acquire knowledge of both medical practices and theories, and use of the generative model for rare disease diagnosis (including rare ophthalmic, diseases and rare systemic diseases), emergency condition identification (including ophthalmic emergencies and systemic emergencies), complex disease solving ("diagnostic puzzles"), or generating multimodal medical imaging reports (including ophthalmic images and radiology images such as X-rays and CT scans). In some embodiments, the generative model involves the use of language data, for pre-training, language data for supervised finetuning using a instruction tuning approach (e.g., QA pairs), and a human-machine hybrid evaluation strategy. In some embodiments, both the pre-training and supervised finetuning phases involve the use of a particular method of scaling to extend the context window. In some embodiments, the human-machine hybrid evaluation strategy involves language data for automated evaluations, as well as evaluations by generalists and by different specialists (e.g., ophthalmologists and radiologists) of varying levels of experience. In some embodiments, the generative foundation model, MetaGP, is used for unmet clinical needs through integration of medical and multimodal imaging data.

The invention relates to the technical field of biological medicines and ophthalmic medicines, in particular to a herbal exosome composition for eye care and treatment and a preparation method thereof. The composition comprises a synergistic combination of herbal exosomes and mesenchymal stem cell exosomes, and further comprises a nano slow-release carrier system. Wherein the herbal exosome is extracted from a traditional herbal plant liquorice by combining gradient centrifugation with a molecular exclusion chromatography method, and herbal active ingredients, namely astragaloside and quercetin, are loaded in the exosome by adopting an electroporation method, so that the pharmacological activity of the exosome is enhanced. The nano slow-release carrier system is of a two-phase slow-release structure; an inner phase is a phospholipid complex loaded with herbal exosomes and mesenchymal stem cell exosomes, and an outer phase is temperature-sensitive hydrogel; the compound is in a liquid state at room temperature, and is rapidly converted into a gel state after being dropped into the ocular surface, so that the retention time of the medicine on the ocular surface is remarkably prolonged, the bioavailability is improved, and the targeting slow release capability aiming at ocular surface tissues is endowed to the compound.

The invention provides gelatin derivative microspheres coated with stem cell exosomes, a preparation method of the gelatin derivative microspheres and application of the gelatin derivative microspheres in preparation of external ophthalmic preparations, and relates to the technical field of medicines. The gelatin derivative microsphere mainly comprises a microsphere core and a shell, wherein the microsphere core is a stem cell exosome coated with a gelatin derivative; the shell is obtained by crosslinking a gelatin derivative and sodium hyaluronate. The gelatin derivative used in the invention not only has good compatibility with the stem cell exosome, but also has good dispersibility in tears or periorbital secretion after being prepared by crosslinking the gelatin derivative and sodium hyaluronate, so that the elimination of an eye protection mechanism to the microspheres can be reduced, and the slow release effect of the exosome can be improved; besides, the shell formed by the hyaluronic acid has a very good tackifying effect, so that the retention time of the gelatin derivative hyaluronic acid microspheres in eyes is prolonged, and the problem of burst release of the medicine is also avoided by virtue of the double-layer coated microsphere structure.

The invention belongs to the technical field of intelligent medical treatment, and discloses an ophthalmology department hospital guide knowledge graph construction system based on improved gradient lifting. Comprising the steps of collecting multi-source ophthalmology original data; performing word segmentation processing on the multi-source ophthalmology original data to obtain ophthalmology medical vocabularies, and dividing the ophthalmology medical vocabularies into disease vocabularies and disease vocabularies; identifying professional vocabularies in the disease vocabularies, and constructing a rough reasoning algorithm and a fine reasoning algorithm; according to the disease vocabularies, the specialized vocabularies and a predefined disease weight set, an ophthalmology entity relation network is constructed, a rough reasoning algorithm and a fine reasoning algorithm are fused, and an ophthalmology hospital guide knowledge graph is constructed; according to the invention, complex symptoms can be dynamically analyzed, the diagnosis accuracy is improved, the medical resource configuration is optimized, and the self-evaluation requirement of the patient is met, so that the rapid response and accurate recommendation of the user symptoms are realized, and the medical treatment efficiency and the medical service quality of the patient are improved.

The invention discloses a data automatic acquisition and standardization processing platform based on multi-mode ophthalmology equipment, and relates to the technical field of ophthalmology diagnosis and treatment, the data automatic acquisition and standardization processing platform comprises an equipment end, the output end of the equipment end is connected with an interface protocol converter, and the output end of the interface protocol converter is connected with an automatic trigger acquisition unit; and the output end of the automatic trigger acquisition unit is connected with a format conversion unit for converting formats. When the automatic data acquisition and standardization processing platform based on the multi-modal ophthalmologic equipment is used, firstly, interface protocols of multiple equipment can be converted through the interface protocol converter, so that real-time synchronization and conjoint analysis of cross-equipment data are supported, and the data are converted into a uniform data format through the format conversion unit; the method comprises the steps that firstly, data are acquired, then the data are preprocessed, so that the research consistency and accuracy are ensured, finally, the effect of automatically labeling a lesion area can be achieved through an AI auxiliary labeling unit, manual intervention is reduced, and the data acquisition and processing efficiency is improved.

The invention relates to a method for providing control data for an ophthalmic laser (12) of a treatment device (10).The procedure comprises the following steps: determining a preoperative corneal thickness profile (24) of a cornea (16) of a human or animal eye from predetermined examination data; determining a target corneal thickness profile (26) of the cornea (16), wherein at least one corneal thickness of the target corneal thickness profile (26) is set to a predetermined corneal thickness value (28) present at at least one predetermined position of the preoperative corneal thickness profile (24); determining tissue removal data to generate the target corneal thickness profile (26), wherein in the tissue removal data only tissue (14) at positions between the preoperative corneal thickness profile (24) and the target corneal thickness profile (26) is defined as tissue (14) to be removed; and providing control data for controlling the ophthalmic laser (12), which includes the tissue removal data.

Certain aspects of the present disclosure provide a system for processing image data from an intraoperative diagnostic device in real-time during an ophthalmic procedure. The system comprises an image capture element that captures a grayscale image of a first size and an image processing element that scales the grayscale image from the first size to a second size. The system also comprises a two-stage classification model comprising: a feature extraction stage to process the scaled grayscale image and generate a feature vector based on the scaled grayscale image and a classification stage to process the feature vector and generate an output vector. The image processing element is further configured to determine an image quality of the obtained grayscale image based on the output vector for display to an operator and the image quality of the obtained grayscale image indicates a probability that the obtained grayscale image includes an artifact.

The invention discloses an eye examination device with a postoperative care eyelid supporting function, and belongs to the technical field of eye examination.The eye examination device comprises an eyeshade type frame, a tightening belt, a shell, an examination base, an examination module, an eyelid dilator and the like, stable wearing can be achieved through the tightening belt, the position of the examination module is adjusted through a micro electric push rod, and the eyelid dilator is arranged on the shell; an upper eyelid supporting piece and a lower eyelid supporting piece of the eyelid dilator achieve accurate dilation by means of the SMA driving dilator, a contact air bag on an arc-shaped silica gel supporting pad can adjust contact pressure through a pneumatic adjuster, a piezoelectric ceramic vibrator can assist in tear adjustment and muscle relieving, a liquid absorber can treat redundant tears, and the device integrates a control module and various detection modules and is convenient to use. The eye protection device can monitor the eye state in real time and trigger a protection mechanism, provides safe and comfortable support and nursing for postoperative patients while completing eye examination, and is suitable for ophthalmologic postoperative examination and rehabilitation assistance.

The invention provides a quantitative detection method and system based on an ophthalmic retina OCT image. The method comprises the steps that a quantitative parameter matrix of a three-dimensional structure is constructed according to a reflection intensity distribution curve corresponding to a target OCT image, the reflection intensity distribution curve and blood vessel density data of an OCTA image, and each voxel in the quantitative parameter matrix comprises space coordinates and parameter dimensions; inputting the quantitative parameter matrix into a pre-trained joint model to detect a retina leakage bounding box through a YOLOv7 network in the joint model, and segmenting the retina leakage area through a U-Net network in the joint model to obtain bounding box coordinates and a segmentation mask of the retina leakage area; and determining quantitative information of the retina lesion area according to the bounding box coordinates and the segmentation mask of the retina permeation area and a mapping relation between a preset permeation area and the lesion area. According to the technical scheme provided by the invention, the YOLOv7 network and the U-Net network are combined to accurately detect and segment the retinopathy area, and quantitative analysis is realized.

To provide an ophthalmic product in which an ophthalmic composition is filled in a container in which a pressing deformation part is formed by using an elastic material, and although the ophthalmic composition contains chlorpheniramine, diphenhydramine or a salt thereof, adsorption of these components is suppressed.SOLUTION: An ophthalmic product comprising an ophthalmic composition and a container filled with the ophthalmic composition, wherein the container comprises a container body having a discharge port and a press-deforming part, and a cap, and the press-deforming part is formed using an elastic material, (A) one or more selected from the group consisting of chlorpheniramine, diphenhydramine, and pharmaceutically acceptable salts thereof, and (B) one or more selected from the group consisting of an amino acid and a salt thereof, glycyrrhizic acid and a salt thereof, a mucopolysaccharide and a salt thereof, trometamol and a salt thereof, ethylenediaminetetraacetic acid and a salt thereof, and a vitamin and a derivative thereof.SELECTED DRAWING: Figure 1

The invention provides pharmaceutical compositions comprising about 0.05 to 0.1% (w / v) cyclosporine dissolved in 1-perfluorobutyl-pentane for use in the topical treatment of dry eye disease and provides for dosing and treatment methods thereof. The invention further provides kits comprising such compositions.

In certain embodiments, an ophthalmic system is provided. The ophthalmic system includes a low power laser source configured to generate a low power laser beam, wherein the low power laser source has a power of between 5 milliwatts (mW) and 20 mW, and a first illumination device configured to transmit the low power laser beam into a vitreous cavity of an eye. The ophthalmic system further includes a red-green-blue (RGB) light-emitting diode (LED) light source configured to generate a RGB light, and a second illumination device configured to transmit the RGB light into the vitreous cavity of the eye.

The present disclosure relates to a method for stabilizing the pH of an aqueous composition comprising a drug which is prone to oxidation, said method comprising the addition of an additive to prevent oxidation of the drug which is prone to oxidation. In particular, the present disclosure relates to a method for stabilizing the pH of an aqueous composition comprising a corticosteroid, said method comprising the addition of an additive to prevent oxidation of the corticosteroid. The present disclosure also relates to a composition comprising a corticosteroid and an additive to prevent oxidation of the corticosteroid.

Disclosed herein are methods for treating or preventing ophthalmic and dermatologic conditions in a patient, including ocular surface conditions such as blepharitis. The methods can include topically administering directly to an ocular surface of one or more eyes of a patient in need of treatment thereof an effective amount of an isoxazoline parasiticide, formamidine parasiticide, or other active ingredient, formulated into an ophthalmic composition, the ophthalmic composition further comprising a pharmaceutically acceptable vehicle. Compositions are also disclosed.