68 results about "High myopia" patented technology

The invention discloses a screening kit for detecting high myopia, which comprises optional relevant reagents for detecting MIPEP gene rs9510902 mutation, rs9318086 mutation, rs3794338 mutation, rs7325450 mutation, or/and rs7331047 mutation which are used for high myopia screening; the susceptibility of a subject to high myopia is predicted by determining whether mutation exists at the following five SNP sites: rs9510902, rs9318086, rs3794338, rs7325450, and rs7331047. The advantages of the invention are that: the correlation between the above five SNP sites and high myopia is elucidated for the first time; the prediction method for susceptibility to high myopia is simple, is applicable to the prevention, assistant diagnosis and treatment of high myopia, and is also applicable to new drugdevelopment.

The present invention relates to an intelligent screening system suitable for high myopia complicated by open angle glaucoma and an establishment method thereof. The system is based on repeated testing, adjustment and training of clinical data of a large number of high myopia patients, learns to identify and evaluate optic disc morphology, thickness of a retinal nerve fiber layer of each quadrant,and thickness of macular ganglion cell complex from a glaucoma OCT examination, evaluates visual field defect degrees from a visual field examination, identifies and evaluates optic disc tilt, opticdisc rotation degrees and beta-area atrophy degrees from eye ground photo images, and then synthesizes patients' basic information, intraocular pressure, spherical power, corneal thickness, axis oculiand other indexes to form comprehensive screening results. Clinicians provide relevant clinical data to the system. The system can quickly and accurately screen out patients with high myopia complicated by open angle glaucoma or gives a risk assessment and provides basis for early detection by doctors and early prevention of the high myopia complicated by open angle glaucoma.

This invention relates to microoptical eyeglass design and process technology and its glass including 1) photoengraving mask: to determine focal distance according to diopter, to determine and computer (x,y) perameters to photoengrave I(x,y) to corresponding several masks in terms of optical holes. 2) ionic etching; to etch sample several times of ionic etching with mask orderly to get 3-D microoptical glass structure with related step depth. The said mask can be formed according to meridional plane to design one focal distance and according to sagisttal plane to design the other focal distance, characterizing in the embossed sample and ionic etching is carried out on each side of the sample.

The invention provides a surgical device for ophthalmic surgery. The surgical device comprises a jacking material, a light guiding fiber, a traction strip and an arc-shaped support. The jacking material and the traction strip are arranged on the inner side and the outer side of one end of the arc-shaped support respectively. A hollow channel is formed in the middle of the jacking material. A through hole is formed in the portion, corresponding to the hollow channel, of the arc-shaped support. A hollow region is formed on the traction strip. The joint of the traction strip and the arc-shaped support can freely rotate. One end of the light guiding fiber sequentially penetrates through the hollow region and the through hole to be embedded into the hollow channel. When the surgical device is used, the jacking material can be aligned with the macula lutea center region through the light guiding fiber, the jacking height can be adjusted through the traction strip, the suture position of the arc-shaped support is adjusted through relative rotation between the traction strip and the jacking end, the implantation position of the jacking material can be accurate and reliable, an implant is stable for a long time, surgical operation is simple, side effects are fewer, and the surgical device is suitable for treating high myopia degree progressive increase and posterior scleral staphyloma related complications.

The invention relates to a high myopia cataract surgery prognosis intelligent pre-judging system. The system can evaluate the cataract turbidity degree of ocular anterior segment photos, the fundus condiction is evaluated according to fundus photos and fundus OCT images, and then other clinical data of a patient is integrated to provide prediction for the optimal corrected visual range of the patient suffering from high myopia cataract. The system has the advantages that high accuracy is achieved through repeated tests and parameter adjustment, problems that clinical doctors and the patient concern most are solved, the clinical doctors can be helped to accurately estimate the postoperative visual acuity of the patient, visual postoperative result prediction is provided for the patient, thedifference between expectation of the patient and results is reduced, and the satisfaction degree of the patient is improved.

The invention provides a multifunctional hard cornea contact lens. The contact lens comprises a lens body. The lens body is provided with an optical area, a defocusing area, a positioning area and a peripheral arc area from a center to the outside world. Through designing luminosity of a tear layer, a maximum curvature of a positioning area and relative luminosity, a myopia defocusing design is satisfied, and simultaneously, irregular cornea fitting can be well considered, an edge comfort of existing RGP in a high myopia application is improved, and universality of the lens is increased.

The invention discloses a gene detection kit for myopia risk assessment and a detection method thereof. The gene detection kit comprises a kit body and a reagent individually stored in the kit body, wherein the individually stored reagent contains 1 a PCR reaction primer group targeted to SNP polymorphic sites of two genes, 2 a PCR amplification reagents and 3 an agarose gel electrophoresis analysis reagent. The gene detection kit makes multiple PCR amplification reactions simultaneously performed on the same PCR instrument by adopting the design of PCR primers, detects related genes of subjects, achieves high efficiency and specificity of detection, analyzes the risks of tending to high myopia of the subjects through, finds myopic heredities and genetic intrinsic factors of the subjects, can well provide scientific references for the subjects, helps the subjects to improve and change living and working habits so as to prevent or reduce the myopia risk of, and meanwhile adopts corresponding strategies in daily life to avoid invalid or even harmful methods.

The invention relates to long-acting liver tonifying and eyesight improving tea which is prepared from the following raw materials in parts by weight: 30 parts of ginseng, 50 parts of codonopsis pilosula, 60 parts of common yam rhizome, 80 parts of chrysanthemum morifolium ramat, 80 parts of honeysuckle, 80 parts of flos buddlejae, 100 parts of fructus lycii, 60 parts of feather cockscomb seed, 80 parts of glossy privet fruit, 80 parts of semen cassiae, 100 parts of folium mori, 40 parts of rhizoma acori graminei, 50 parts of herba lycopi, 100 parts of poria cocos, 60 parts of grifola, 100 parts of salviae miltiorrhizae, 60 parts of ligusticum wallichii, 30 parts of rhizoma cimicifugae, 80 parts of dried radix rehmanniae, 50 parts of agastache rugosus, 30 parts of rheum officinale, 40 parts of cortex phellodendri and 80 parts of tenuifolia. The long-acting liver tonifying and eyesight improving tea is prepared from multiple affinal-drug-and-diet plants; the formula is reasonable; key points are outstanding; all aspects are considered; the five internal organs are conditioned; the liver and the kidney are nourished; yin and blood nourishing is realized; the liver is tonified, and the eyesight is improved. The long-acting liver tonifying and eyesight improving tea is suitable for conditioning and maintenance of all people aged from 5-70 and suffering from high myopia and severe amblyopia, has long-term and long-acting stability, does not have side effects and can take effect quickly.

The invention discloses a high myopia fundus lesion risk prediction method based on a convolutional neural network and knowledge distillation. The risk prediction method comprises the steps that fundus images are acquired, and data of a training set and a test set are randomly divided; preprocessing such as random overturning, cutting, color jittering and normalization is performed on the trainingset, and only normalization preprocessing is performed on the test set; a classification network model is trained by using a knowledge distillation method, and training data are correspondingly sentto a pre-trained teacher network and a to-be-trained student network; the soft label value and the real label value output by the teacher network are taken as supervision information, and KL Loss andFocal Loss are calculated according to the supervision information and predicted values output by the student network; the two different Loss values are weighted and summed to serve as a final loss function for parameter updating of the student network; and the trained student network can perform three-classification prediction of normal-low-risk high myopia fundus lesion-high-risk high myopia fundus lesion on the fundus image test set.

The invention discloses a method for printing an individual myoporthosis resin lens based on 3D. Firstly, three-dimensional model individualized design is carried out according to myopia check parameters of myopia patients; secondly, WaterShedRXC 11122 transparent resin materials are adopted, meanwhile, printing parameters are set, and a photocuring forming process is used for conducting 3D printing; and thirdly, the molded lens obtained after printing is subject to follow-up treatment including polishing, grinding and burr removing. The transparent lens printed through the method can achieve individual high matching of the myopia patients, and can reduce optical correction loads of the high myopia patients; and meanwhile, a way and method of application of the transparent lens for hook face lens molding are achieved.

The invention provides a kit for detecting high myopia, comprising an optional reagent for detecting the mutations of one or more loci of 1901, 2156, 2180, 2238, 4138, and 4718 of ZNF644 gene. The invention further provides an application of the mutations of one or more loci of 1901, 2156, 2180, 2238, 4138, and 4718 of ZNF644 gene in preparing a reagent for detecting high myopia. The kit provided by the invention can predict the susceptibility of a sample to be detected to high myopia, can be used for early monitoring and detecting high-risk population of high myopia, and can be used for carrying out early prevention and treatment to reduce visual loss.

The invention provides application of an acellular cornea stroma lens in treating ophthalmic diseases, and relates to the technical field of tissue engineering. The acellular cornea stroma lens prepared according to the preparation method can effectively remove the cellular constituents in a cornea stroma lens, reduce the immunogenicity of the cornea stroma lens and improve the biomechanical strength of the cornea stroma lens; moreover, the original morphology and the transparency of the cornea stroma lens can be effectively kept, and the prepared acellular cornea stroma lens has the advantages of being higher in safety, better in transparency and more stable in performance. Therefore, the acellular cornea stroma lens can serve as a permanent implant lens and is used for treating the ophthalmic diseases, and a new treating method is provided for the correction of clinical high myopia, presbyopia and anisometropia.

The invention belongs to the technical field of detection, and discloses an abnormality recognition method and device based on an eye fundus image, equipment and a storage medium. The method comprisesthe steps of obtaining an eye fundus image; inputting the eye fundus image into a pre-trained binary classification model, and obtaining a judgment result of whether the eye fundus image output by the binary classification model in response to the eye fundus image is a highly myopia eye fundus image or not; inputting the fundus image which is confirmed to be highly myopia into a pre-trained abnormity detection model, obtaining an recognition result which is output by the abnormity detection model in response to the highly myopia fundus image, wherein the recognition result comprises abnormityor no abnormity in the highly myopia fundus image; and outputting a detection conclusion based on the recognition result. According to the method, high myopia and non-high myopia can be classified more accurately; and fundus abnormality detection is carried out on the classified high myopia image through the trained abnormality detection model, and the detection result serves as an intermediate result of eye fundus diagnosis and can be applied to clinical analysis.

The invention discloses a detection method for eyeground multi-disease classification based on deep learning. The method comprises the steps of obtaining an eyeground image, and selecting a training set and a test set according to independent identically-distributed conditions; preprocessing and enhancing the eyeground image, and extracting eyeground color photo image features; establishing a convolutional neural network model based on an EffecientNet + Attention Module, and adjusting the network structure; initializing network parameters by using a migration learning mode; based on the extracted eyeground features, training a detection model on a training set by using a reverse gradient propagation mode in deep learning, and finely adjusting parameters of the detection model; and finally,obtaining a detection model capable of distinguishing eight classifications including normal eyeground, high myopia, glaucoma, maculopathy, vein occlusion, diabetic retinopathy, hypertensive retinopathy and other degeneration. According to the detection method disclosed by the invention, automatic detection for multiple diseases of patients with eyeground diseases is realized, and the detection method is high in precision and high in speed.

Since high myopia increases the risks of retinal detachment, myopic chorioretinal atrophy, myopic choroidal neovascularization, glaucoma, and cataract, establishment of prophylaxis against the progress of myopia is desired. However, at present, there is no effective prophylaxis or therapy for axial myopia, which is considered to cause high myopia. The present invention, which was completed based on the finding that Rho kinase inhibitors have an inhibitory action on axial length extension, provides a prominently effective prophylactic or therapeutic agent comprising a Rho kinase inhibitor as an active ingredient for axial myopia.

The invention discloses a biologic sclera contraction band and a preparing method thereof. The biologic sclera contraction band is in a band as a whole; the cross section of the biologic sclera contraction band is arc-shaped; the biologic sclera contraction band is thickest in the middle and gradually becomes narrower from the middle to the two sides through arc-shaped transition; the whole length of the biologic sclera contraction band is 3-40mm; the middle thickness of the biologic sclera contraction band is 1-3mm; the thickness of the two sides of the biologic sclera contraction band is 0.5-2mm; the band width of the biologic sclera contraction band is 3-8mm. The biologic sclera contraction band can be applied to combination with a biologic posterior sclera reinforcing band, can contract sclera and limit the expansion of the sclera, is used for treating high myopia macular retinal detachment, full retinal detachment and other certain non-incremental retinal detachments and better keeps and protects retinal structures and functions. The base material of the biologic sclera contraction band is taken from the trachea, ligament, trunk vessel or cartilage of an animal, the strength is increased through genipin cross-linking solidifying treatment, the elasticity and the hardness are proper, and the biologic sclera contraction band cannot be easily absorbed, has great tissue compatibility, causes few complications and overcomes the defects of the conventional retinal detachment intra and extra surgeries.

The invention discloses a method for detecting an atrophic arc of a high myopia fundus image based on machine learning, which comprises the following steps of: obtaining a fundus image, and randomly selecting a training set and a test set, removing noise and enhancing the fundus image, and extracting a main blood vessel contour, carrying out region-of-interest halving operation based on density distribution of the main blood vessels, and obtaining a positioning region of choroidal atrophic arcs of the optic disc and the periphery of the optic disc in the fundus image according to the brightness information and the shape information, taking the positioning region image as input, and extracting texture features of the positioning region image in combination with a complete local binary pattern operator and a binary Gabor pattern operator, and based on the extracted textural features, training a detection model on the training set by using a gradient elevator in machine learning, and finely adjusting parameters of the detection model to finally obtain a detection model of the atrophic arc of the high myopia fundus image. Automatic detection of choroidal atrophic arcs in fundus imagesof patients with high myopia is realized, the precision is high, and the speed is high.

The invention discloses a system for determining a vision correction surgical operation treatment area, and belongs to the technical field of vision correction surgical operations. Firstly, a patient eyeball model and an initial treatment area are generated; the current treatment area is applied to the patient eyeball model, the visual quality is evaluated through simulation, and if a preset requirement is met, the current treatment area is accepted; otherwise, the first to last coefficients of the current treatment area are sequentially adjusted one by one according to a preset optimization trend, the visual quality is continued to be evaluated, and when the visual quality is not improved, the first to last coefficients of the current treatment area is adjusted according to the reverse direction of the preset optimization trend; and if the adjusted treatment area is applied to the patient eyeball model and the visual quality is still not improved, a high-order item is added on the basis of the current treatment area, and the visual quality is continued to be evaluated. In this way, the best treatment effect can be provided for patients, and the system is particularly suitable for some high-myopia patients and keratoconus patients.

The invention provides a high myopia detection method based on an eye fundus image. The method comprises the following steps: acquiring a to-be-detected eye fundus image; inputting the fundus image to be detected into a high myopia detection model to obtain a high myopia detection result of the fundus image to be detected; wherein the high myopia detection model is obtained by training by using an adaptive course learning module and a semi-supervised transfer learning framework based on a general data set, a labeled fundus image sample data set and a label-free fundus image sample data set; wherein the adaptive course learning module is used for screening eye fundus image samples with labels and sequentially transmitting the screened eye fundus image samples with the labels to the student classification network model according to a determined sequence; the semi-supervised transfer learning framework comprises a pre-training source model and a semi-supervised teacher network model.

The invention belongs to the technical field of medicine, and in particular relates to a pharmaceutical composition for treating macular hemorrhage in high myopia and an application of the pharmaceutical composition. The pharmaceutical composition consists of the following components: ginseng, fruit of Chinese wolfberry, longan aril, raspberry, pollen typhae, pomegranate flower, coptis chinensis, cassia twig, colla corii asini, pseudo-ginseng, glossy privet fruit, semen plantaginis and Chinese starjasmine stem. The pharmaceutical composition disclosed by the invention is a pure traditional Chinese medicine pharmaceutical composition, is reasonable in formula and is applied according to syndrome differentiation, and the pharmaceutical composition has a relatively good curative effect on macular hemorrhage in high myopia, and in particular on macular hemorrhage in high myopia caused by deficiency fire and collateral injury.

The invention relates to an artificial intelligence-assisted optimized highly myopia intraocular lens degree calculator using method, which comprises the following steps: S1, inputting basic information of a patient, and substituting the basic information into a Barrett calculation formula to obtain an IOL degree and a corresponding predicted diopter; s2, inputting the obtained IOL degree and diopter into XGBoost model carrying software; s3, outputting the optimized predicted diopter based on the long eye axis; and S4, comparing the optimized predicted diopter with the target diopter. The method has the advantages that the degree of the intraocular lens can be accurately calculated and the postoperative reserved diopter can be predicted before the high-myopia intraocular lens implantation operation, myopia drift or hyperopia drift occurring after the operation can be effectively reduced, and the visual effect after the intraocular lens implantation operation is improved; the postoperative refraction state of a patient with high myopia can be accurately predicted, and the satisfaction degree of the patient is increased.