12 results about "Ophthalmological test" patented technology

The application provides an ophthalmic image diagnosis method and system based on multi-modal imaging cooperation, and relates to the technical field of medical image diagnosis. First, the OCT, fundus camera and ultrasonic original image data of an ophthalmic examination object are acquired, and multi-modal dynamic correlation mapping results are obtained through dynamic correlation and trend correlation processing. Cross-modal lesion feature progressive mining and interactive verification are performed to obtain a cross-modal lesion correlation feature set. Multi-modal cooperative diagnosis reasoning and weight feedback optimization are used to generate an ophthalmic disease reasoning result containing disease types, lesion dynamic distribution and reasoning confidence. Finally, an ophthalmic diagnosis report with dynamic labeling and confidence explanation is generated. The application comprehensively utilizes the advantages of various image technologies to improve the accuracy of ophthalmic image diagnosis.

The invention belongs to the technical field of disease detection and health examination, and particularly relates to an enzyme-linked immunosorbent assay method of apolipoprotein E and application of the apolipoprotein E in glaucoma diagnosis. A capture antibody used by the kit is 1D4, a heavy chain variable region of the capture antibody comprises HCDR1-3 as shown in SEQ ID NO: 4-6, and a light chain variable region of the capture antibody comprises LCDR1-3 as shown in SEQ ID NO: 1-3; a detection antibody used by the kit is 3A6, a heavy chain variable region of the detection antibody comprises HCDR1-3 as shown in SEQ ID NO: 12-14, and a light chain variable region of the detection antibody comprises LCDR1-3 as shown in SEQ ID NO: 9-11. The double-antibody sandwich ELISA detection kit for detecting ApoE4 provided by the invention has no cross reaction with other subtypes of ApoEs, the used monoclonal antibody has high sensitivity, the kit can be used for screening glaucoma in physical examination and ophthalmic examination of old people, and the screening result is counted and summarized to a health information system and a cloud platform for big data analysis, so that the health condition of a patient can be detected.

A system for guiding a patient during an ophthalmic examination includes a display screen and a patient guidance system (PGS). The PGS receives an enabling signal that identifies an examination device to be used during the examination. In response to receiving the enabling signal, the PGS may display a visible target via the display screen and / or play an audible sound via a speaker. The audio sound is a clear indication of the examination sequence performed using the examination device. The visible target includes patient instructions corresponding to an examination sequence performed using the examination device. The PGS automatically modifies a characteristic of the visible target or audio signal when the patient does not comply with the patient instructions during the examination sequence.

A system for guiding a patient during an ophthalmic examination includes a display screen and a patient guidance system (PGS). The PGS receives an enabling signal that identifies an examination device to be used during the examination. In response to receiving the enabling signal, the PGS may display a visible target via the display screen and / or play an audible sound via a speaker. The audio sound is a clear indication of the examination sequence performed using the examination device. The visible target includes patient instructions corresponding to an examination sequence performed using the examination device. The PGS automatically modifies a characteristic of the visible target or audio signal when the patient does not comply with the patient instructions during the examination sequence.

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

The invention relates to an intelligent consultation and recommendation system for ophthalmic examination items, which comprises a user interaction interface module, a multi-source data acquisition and fusion module, an ophthalmic knowledge graph construction and updating module, a multi-modal user feature analysis and modeling module, an examination item hierarchical recommendation decision engine and a personalized recommendation report generation module, according to the intelligent consultation and recommendation system for the ophthalmology examination items, by constructing the dynamically updated ophthalmology knowledge graph with rich relations, scattered and unstructured medical knowledge is systematically organized, and a solid knowledge basis with the times is provided for intelligent recommendation. The system can automatically absorb latest clinical guidelines and evidences, ensures scientificity and frontier of a recommendation scheme, and effectively overcomes the defect that knowledge updating is lagged in a traditional mode.

The application discloses a kind of early warning method and device of children's eye disease and systemic genetic syndrome, it is related to ophthalmic examination equipment technical field.The method includes: collection ocular anterior segment image data set, utilize the multi-task segmentation model after training, obtain multiple congenital eye disease quantitative feature data, then based on the risk index calculator of pre-established index calculation is carried out, and the congenital eye disease risk index is obtained, classification processing is carried out, matches eye abnormal phenotype, and obtains systemic disease early warning report.The application can realize more than 10 kinds of congenital eye disease and rare but important lesion in one examination screening, and simultaneously establishes the intelligent early warning system of eye phenotype and systemic genetic syndrome.

The ophthalmology detection data collection device provided by the invention has the characteristics of high data integration level, high analysis intelligence and closed-loop learning ability. According to the system, automatic collection and unified archiving of various types of ophthalmic examination data are achieved through a multi-source data interface and a standardized processing module, the contribution degree of each examination in diagnosis is dynamically evaluated through a multi-modal fusion model based on an attention mechanism, and a comprehensive risk evaluation result is output; furthermore, the system uses the diagnosis feedback of the doctor as a supervision signal through a feedback learning mechanism, and continuously optimizes the analysis model, so that the analysis model better meets the clinical actual demand. According to the system, the efficiency of acquiring and interpreting multi-source examination information by a doctor is remarkably improved, the consistency and accuracy of diagnosis are enhanced through intelligent analysis and a self-evolution mechanism, and efficient and reliable auxiliary support is provided for clinical decision making of the ophthalmology department.

Dual Mode Dental – Ophthalmic Examination Instrument

The invention provides a CRVO-ME early screening method and system fusing multi-source ophthalmic examination data, and relates to the technical field of intelligent screening combining the medical information technology and ophthalmic clinical diagnose.The method comprises the steps that the multi-source ophthalmic examination data including clinical data and ophthalmic image data are obtained, and the multi-source ophthalmic examination data are obtained; adopting a multiple interpolation technology to fill missing values to generate a complete data set; carrying out single-variable analysis on the complete data set, and screening out an initial variable set related to CRVO-ME; inputting the set into a pre-constructed LASSO-Logistic regression model, carrying out compression screening on variables by utilizing an L1 regularization technology, determining an optimal regularization parameter lambda value in combination with grid search and cross validation, and screening out a key risk factor subset according to the optimal regularization parameter lambda value; and finally, an LASSO-Logistic risk prediction model is constructed based on the subset, and early screening of CRVO-ME is realized. According to the method, the early screening efficiency of retinal central vein occlusion and macular edema is improved.

According to a medical system of an aspect example, an ophthalmic data acquiring unit includes at least one ophthalmic examination apparatus for acquiring ophthalmic data from a patient, and an internal medicine data acquiring unit includes at least one internal medicine examination apparatus for acquiring internal medicine data from the patient. An inference processor is configured to perform inference processing using a trained model constructed by machine learning using training data that includes ophthalmic data, internal medicine data, and diagnostic result data. The inference processor generates inferred diagnostic data by performing the inference processing based at least on the ophthalmic data of the patient acquired by the ophthalmic data acquiring unit and the internal medicine data of the patient acquired by the internal medicine data acquiring unit. An output unit outputs a result of the inference processing performed by the inference processor.

To shorten the time spent on eye examinations. [Solution] The information processing device of the present disclosure includes a conversion unit that converts first information relating to the control results of one ophthalmic device, obtained from one of the ophthalmic devices, which is a first ophthalmic device used for examining the eye of a subject and a second ophthalmic device of a different type from the first ophthalmic device, into second information usable by the other ophthalmic device, The device comprises a communication unit that transmits the second information to the other ophthalmic device.