12 results about "After cataract" patented technology

The invention provides an intelligent follow-up visit monitoring system after cataract operation, and relates to the technical field of image processing. The intelligent follow-up visit monitoring system after the cataract operation comprises an acquisition module used for acquiring a plurality of image samples after the cataract operation; the classification module is used for inputting the plurality of image samples into a pre-trained image classification model and outputting probability values of classification results of various complications after the cataract operation corresponding to the image samples; the determining module is used for determining the uncertain value of each image sample according to the probability value of the classification result of various complications after the cataract operation corresponding to each image sample; the screening module is used for screening out a target image sample according to the uncertain value of each image sample; and the training module is used for training an image classification model according to the target image sample and the labeling result of the target image sample, and the trained image classification model is used for assisting in determining a post-cataract follow-up visit scheme. The method can improve the follow-up visit efficiency after the cataract operation.

Devices and methods for replacing a human lens after cataract surgery. The device is an insert for the eye capsule and is formed of two or more rings that are connected to one another. A primary lens is affixed to the insert. A secondary add-in lens can be added to the insert in a subsequent surgery to correct, or further optimise, the optical results obtained with the initial surgery.

Pharmaceutical compositions, methods for treating various issues of the eyes, and methods of preparing such compositions are described. These pharmaceutical compositions may be for treating glaucoma, in preparation of eye surgery, during eye surgery, various post-op care (e.g., after cataract surgery, laser eye surgery, and the like), for treating dry eyes, and / or for promoting eyelash growth. These pharmaceutical compositions may comprise such active ingredients (APIs) as: timolol, latanoprost, brimonidine tartrate, dorzolamide, moxifloxacin HCl, dexamethasone PO4, phenylephrine HCl, lidocaine HCl, ketorolac tromethamine, bromfenac, prednisolone PO4, gatifloxacin, amniotic cytokine extract (ACE), prostaglandin E2 (PGE2), and combinations thereof.

FIELD: ophthalmology.SUBSTANCE: used to remove residual cortical masses that have migrated to the equatorial region after cataract extraction (CE) in patients after keratoprosthetics. To do this, the optical cylinder of the keratoprosthesis is unscrewed using a key. Residual cortical masses are visualized through the opening of the optical cylinder (OOC) and removed using a Simcoe cannula or a straight cannula with a flat tip mounted on a 10 ml syringe. The optical cylinder is screwed back in using a key.EFFECT: invention reduces the risk of developing intra- and postoperative complications and accelerates visual rehabilitation of patients by reducing the time of surgical intervention and without performing additional approaches.1 cl, 1 ex

This application discloses a method for detecting corneal thickness after phacoemulsification cataract surgery based on anterior segment OCT, belonging to the field of image analysis technology. The method includes: dividing the cornea into multiple first regions based on a region growing algorithm and initial corneal thickness data; obtaining second regions based on each first region; obtaining multiple partial boundaries based on the second regions; obtaining fibrotic regions based on each partial boundary; and adjusting the scanning density and refractive index of the second regions based on the fibrotic regions and a scanning density correction coefficient to obtain the final corneal thickness data. This application combines the fibrotic regions and the scanning density correction coefficient to adjust the scanning density and refractive index of the second regions, avoiding the errors of calculations using a uniform refractive index in existing technologies, ultimately achieving accurate measurement of corneal thickness and solving the technical problem that existing OCT detection cannot accurately measure corneal regional thickness.

The present application relates to the technical field of medical data processing, in particular to a cataract ultrasonic emulsification postoperative corneal rehabilitation evaluation system based on deep learning. The system comprises an image acquisition module for acquiring postoperative corneal endothelial cell images of a person; a first abnormality analysis module for extracting abnormal corneal regions in the corneal endothelial cell images; a second abnormality analysis module for screening out suspected mechanical damage regions from the abnormal corneal regions; a region segmentation module for segmenting the suspected mechanical damage regions into suspected damage sub-regions; a region division module for determining the division parameters of the suspected damage sub-regions belonging to mechanical damage; based on the pixel number, area and corresponding division parameters in the suspected damage sub-regions, determining the rehabilitation degree, and dividing the suspected damage sub-regions into mechanical damage regions and hyperglycemia damage regions. The present application improves the accuracy of segmentation of mechanical damage regions and hyperglycemia damage regions.

The utility model relates to a capsular membrane polisher after cataract surgery, which comprises a connecting tube, a polishing head is rotatably connected to one end of the connecting tube far away from the connecting tube, a water outlet hole is arranged on the polishing head, the connecting tube is communicated with the water outlet hole, an impeller is arranged at the position of a tube opening where the connecting tube is connected with the polishing head, and the impeller is connected with the polishing head. A connecting rod is fixedly connected to the center of the impeller, the two ends of the connecting rod are rotationally connected with the side wall of the connecting pipe and fixedly connected with the side wall of the polishing head respectively, a pushing and injecting assembly is installed at the end, away from the polishing head, of the connecting pipe and used for injecting liquid into the water outlet hole, and the liquid drives the impeller to rotate when passing through the impeller. The capsular membrane polisher used after the cataract surgery aims to solve the problems that in the prior art, the head of a capsular membrane polisher is fixedly connected with a handle of the capsular membrane polisher, the polisher polishes the capsular membrane excessively due to excessive force in the using process, the safety is not high, the head needs to be rotated manually by workers, and the operation difficulty is large.

The invention discloses a cataract ultrasonic emulsification postoperative cornea thickness detection method based on anterior segment OCT, and relates to the technical field of image analysis. The method comprises the following steps: dividing a cornea into a plurality of first regions based on a region growing algorithm and initial cornea thickness data; acquiring a second area based on each first area; acquiring a plurality of partial boundaries based on the second region; based on the boundaries of all the parts, a fibrosis area is obtained; and adjusting the scanning density and the refractive index of the second region based on the fibrosis region and the scanning density correction coefficient to finally obtain cornea thickness data. According to the method, the scanning density and the refractive index of the second area are adjusted by combining the fibrosis area and the scanning density correction coefficient, so that the error of calculation by using a unified refractive index in the prior art is avoided, accurate measurement of the cornea thickness is finally realized, and the technical problem that the thickness of the cornea area cannot be accurately measured through existing OCT detection is solved.

The invention provides an application method of a Jiakujin decoction in treatment of xerophthalmia after cataract surgery, which comprises the following steps: acquiring a Jiakujin decoction traditional Chinese medicine composition which is composed of a plurality of medicinal materials with the effects of cooling blood, moistening dryness, dispelling wind and improving eyesight; effective components of the traditional Chinese medicine composition act on eyes in a traditional Chinese medicine fumigation mode, and blood circulation of the eyes is promoted in a heating fumigation mode. The medicine effect of the traditional Chinese medicine composition permeates into eye tissues through the fumigation process, and the stability of a tear film on the ocular surface and the symptoms of dry eyes are improved.

Provided herein are devices for repairing the natural lens capsule after cataract surgery. The devices use a substantially annular rigid and flexible assembly to contact the posterior and anterior surfaces of the capsule after cataract surgery to repair the capsule shape. Also provided are devices for tensioning the capsule after cataract surgery. An elastic annular body is shaped to secure the edges of a capsulorhexis in a clamp-like configuration. Alternatively, similar to the rigid and flexible assembly of the capsule repair device, the elastic annular body is formed with a lower assembly depending from the body and a flexible annular body extending from the lower assembly.

The invention relates to the technical field of medical data processing, in particular to a cataract ultrasonic emulsification postoperative cornea rehabilitation evaluation system based on deep learning. The system comprises an image acquisition module used for acquiring a corneal endothelial cell image of a postoperative person; the first anomaly analysis module is used for extracting an abnormal cornea region in the cornea endothelial cell image; the second anomaly analysis module is used for screening a suspected mechanical injury area from the abnormal cornea area; the region segmentation module is used for segmenting the suspected mechanical damage region into suspected damage sub-regions; the region division module is used for determining distinguishing parameters of the suspected damage sub-regions belonging to the mechanical damage; based on the pixel number, the area and the corresponding distinguishing parameters in the suspected injury sub-region, the rehabilitation degree is determined, and the suspected injury sub-region is divided into a mechanical injury region and a hyperglycemia injury region. According to the method, the segmentation accuracy of the mechanical injury area and the hyperglycemia injury area is improved.