CN111863176A - Accurate selection system of high myopia cataract intraocular lens - Google Patents
Accurate selection system of high myopia cataract intraocular lens Download PDFInfo
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- CN111863176A CN111863176A CN202010746771.0A CN202010746771A CN111863176A CN 111863176 A CN111863176 A CN 111863176A CN 202010746771 A CN202010746771 A CN 202010746771A CN 111863176 A CN111863176 A CN 111863176A
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- 208000002177 Cataract Diseases 0.000 title claims abstract description 25
- 230000004402 high myopia Effects 0.000 title claims abstract description 11
- 239000013078 crystal Substances 0.000 claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000013500 data storage Methods 0.000 claims abstract description 14
- 238000007726 management method Methods 0.000 claims abstract description 12
- 210000005252 bulbus oculi Anatomy 0.000 claims description 10
- 238000007689 inspection Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 5
- 210000002159 anterior chamber Anatomy 0.000 claims description 3
- 230000004323 axial length Effects 0.000 claims description 3
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 210000001508 eye Anatomy 0.000 claims 2
- 238000013473 artificial intelligence Methods 0.000 abstract description 2
- 210000000695 crystalline len Anatomy 0.000 description 45
- 238000001356 surgical procedure Methods 0.000 description 5
- 208000024891 symptom Diseases 0.000 description 5
- 230000004438 eyesight Effects 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 206010007772 Cataract conditions Diseases 0.000 description 2
- 230000002980 postoperative effect Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000006371 metabolic abnormality Effects 0.000 description 1
- 208000030159 metabolic disease Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 208000030212 nutrition disease Diseases 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 230000000607 poisoning effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 210000001525 retina Anatomy 0.000 description 1
- 230000008733 trauma Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/40—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
Abstract
The invention belongs to the technical field of artificial intelligence, and particularly relates to an accurate selection system for a high-myopia cataract artificial lens, which comprises: data server, data statistics module, contrastive analysis module, detection contrast module, selection module and warehouse entry management module, data server electrical property both way junction has data storage module and high in the clouds database, data server electrical property input connection data statistics module, data statistics module electrical property input connection preliminary examination module, data server electrical output connection contrastive analysis module, contrastive analysis module electrical output connection detects contrast module, improves the accurate nature that the intraocular lens selected, improves intraocular lens selection speed to after selecting suitable intraocular lens, can show the position of the selected crystal on the computer, the medical personnel of being convenient for seek the use fast, improve work efficiency.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an accurate selection system for a high-myopia cataract artificial lens.
Background
All the reasons such as aging, heredity, local nutrition disorder, immunity and metabolism abnormality, trauma, poisoning, radiation and the like can cause the metabolic disorder of crystalline lens, so that the protein of the crystalline lens is denatured to generate opacity, which is called cataract, at the moment, light rays are blocked by the opacity crystalline lens and can not be projected on retina, so that the vision is blurred. The disease is mostly over 40 years old, the incidence rate increases with the age, the cataract surgery is changed from the vision recovery surgery to the refractive surgery along with the development of the cataract surgery technology, and the requirements of patients on the surgery effect not only lie in the improvement of postoperative vision, but also include the requirements on postoperative visual quality, glasses removal and the like.
When carrying out the intraocular lens to cataract patient and selecting, adopt at present to carry out step by step detection and selection to the patient, or confirm through long-time information, then carry out the affirmation of intraocular lens, select the cycle of artificial lens longer, can't be fast accurate select the intraocular lens.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems associated with the selection of intraocular lenses for cataract patients.
Therefore, the invention aims to provide an accurate selection system for a high-myopia cataract intraocular lens, which can compare and analyze cataract data of a patient with locally stored data, search data information which is closest to symptoms of the patient, conveniently select a proper intraocular lens for the patient, perform data simulation comparison for the patient, improve the accuracy of intraocular lens selection, improve the intraocular lens selection speed, display the position of the selected intraocular lens on a computer after selecting the proper intraocular lens, facilitate quick searching and use of medical personnel and improve the working efficiency.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a highly myopic cataract intraocular lens accurate selection system comprising: the system comprises a data server, a data statistics module, a comparison analysis module, a detection comparison module, a selection module and a warehousing management module, wherein the data server is electrically and bidirectionally connected with a data storage module and a cloud database, the data server is electrically input and connected with the data statistics module, the data statistics module is electrically input and connected with a pre-inspection module, the data server is electrically output and connected with the comparison analysis module, the comparison analysis module is electrically output and connected with the detection comparison module, the detection comparison module is electrically output and connected with the selection module, the data server is electrically and bidirectionally connected with the warehousing management module, and the warehousing management module is electrically input and connected with a crystal positioning module.
As a preferable scheme of the accurate selection system for the high myopia cataract artificial lens, the system comprises: the pre-examination module monitors the vitreous state, the axial length, the anterior chamber depth, the lens thickness, the white-to-white distance and the corneal radius of curvature of the patient's eyeball.
As a preferable scheme of the accurate selection system for the high myopia cataract artificial lens, the system comprises: the comparison content of the comparison and analysis module is the comparison of the eyeball data of the patient with the local data in the data storage module and the cloud database.
As a preferable scheme of the accurate selection system for the high myopia cataract artificial lens, the system comprises: the detection comparison module compares the content to simulate the comparison of the effects generated by different artificial crystals.
As a preferable scheme of the accurate selection system for the high myopia cataract artificial lens, the system comprises: the crystal positioning module adopts positioning chips, and the positioning chips and the artificial crystals are distributed in a one-to-one correspondence manner.
Compared with the prior art: the invention can compare and analyze cataract data of a patient with locally stored data, find data information which is closest to symptoms of the patient, conveniently select a proper artificial crystal for the patient, perform data simulation comparison for the patient, improve the accuracy of artificial crystal selection, improve the speed of artificial crystal selection, display the position of the selected crystal on a computer after selecting the proper artificial crystal, facilitate quick searching and use of medical personnel and improve the working efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic diagram of the system of the present invention.
In the figure: the system comprises a 100 data server, a 110 data storage module, a 120 cloud database, a 200 data statistics module, a 210 pre-detection module, a 300 comparison analysis module, a 400 detection comparison module, a 500 selection module, a 600 warehousing management module and a 610 crystal positioning module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides an accurate selection system for a high-myopia cataract intraocular lens, which can compare and analyze cataract data of a patient with locally stored data, find data information which is closest to symptoms of the patient, conveniently select a proper intraocular lens for the patient, perform data simulation comparison for the patient, improve the accuracy of intraocular lens selection, improve the intraocular lens selection speed, display the position of the selected intraocular lens on a computer after selecting the proper intraocular lens, facilitate quick searching and use of medical personnel, improve the working efficiency, and refer to fig. 1, and comprises the following steps: the system comprises a data server 100, a data statistics module 200, a comparison analysis module 300, a detection comparison module 400, a selection module 500 and a warehousing management module 600;
referring to fig. 1 again, the data server 100 includes a data storage module 110 and a cloud database 120, specifically, the data server 100 is electrically connected to the data storage module 110 and the cloud database 120 in a bidirectional manner, after the patient is examined by the pre-examination module 210, the case information of the patient is stored in the data storage module 110 and the cloud database 120, so that the later retrieval is facilitated, meanwhile, a new case can be compared with a stored case, a common point between patients is searched, and a doctor can diagnose conveniently.
Referring to fig. 1 again, the data statistics module 200 includes a pre-inspection module 210, the data statistics module 200 is electrically connected to the data server 100, the data statistics module 200 is electrically connected to the pre-inspection module 210, the pre-inspection module 210 is an inspection apparatus for inspecting cataract symptom characteristics of a patient, and transmitting a detection result to the data statistics module 200 for statistics, and transmitting information after statistics to the data storage module 110 and the cloud database 120 for storage.
Referring to fig. 1 again, the comparison and analysis module 300 is electrically connected to the data server 100, the data server 100 compares the new examination information of the patient with the historical cases stored in the data storage module 110 and the cloud database 120, finds a common point, determines an appropriate solution (the type of intraocular lens selected by different cataract conditions) in the historical cases, and the doctor selects an appropriate intraocular lens for the patient according to the solution of the historical cases.
Referring to fig. 1 again, the detection and comparison module 400 is electrically connected to the comparison and analysis module 300, and after selecting the intraocular lens, the data server 100 establishes the eyeball model of the patient using the database, performs matching analysis on the eyeball model of the patient and the selected intraocular lens, and compares the intraocular lens effects within the selected range.
Referring to fig. 1 again, after the intraocular lens is screened and compared by the detection and comparison module 400, the selection module 500 and the detection and comparison module 400 send the comparison data to the selection module 500, and finally the medical staff selects the most suitable intraocular lens.
Referring to fig. 1 again, the warehousing management module 600 includes a crystal positioning module 610, specifically, the warehousing management module 60 is electrically connected to the data server 100 in a bidirectional manner, the warehousing management module 600 is electrically connected to the crystal positioning module 610 in an input manner, the crystal positioning module 610 adopts positioning chips, the positioning chips and the artificial crystals are distributed in a one-to-one correspondence manner, and after a suitable artificial crystal is selected, the position of the selected crystal can be displayed on a computer, so that medical personnel can search and use the crystal quickly.
When the system is used specifically, the pre-examining module 210 is an examining apparatus for examining cataract symptom characteristics of a patient, and transmitting the examination result to the data statistics module 200 for statistics, the information after statistics is transmitted to the data storage module 110 and the cloud database 120 for storage, the data server 100 compares new examination information of the patient with historical cases stored in the data storage module 110 and the cloud database 120, finds common points, determines appropriate solutions (types of intraocular lenses selected by different cataract conditions) in the historical cases, a doctor selects appropriate intraocular lenses for the patient according to the solutions of the historical cases, the data server 100 establishes an eyeball model of the patient by using the database, performs matching analysis on the eyeball model of the patient and the selected intraocular lenses, compares intraocular lens effects in the selected range, and after the intraocular lenses are screened and compared by the detection and comparison module 400, the comparison data is sent to the selection module 500, the medical staff finally selects the most appropriate artificial lens, and after the appropriate artificial lens is selected, the position of the selected lens can be displayed on the computer, so that the medical staff can search and use the lens quickly.
The pre-inspection module 210 detects the data of the eyeball and facilitates the establishment of a data model, wherein the monitoring content is the vitreous state, the axial length, the anterior chamber depth, the lens thickness, the white-to-white distance and the corneal curvature radius of the eyeball of the patient.
The comparison content of the comparison and analysis module 300 is the comparison between the eyeball data of the patient and the local data in the data storage module 110 and the cloud database 120, so that the analysis and diagnosis of the doctor are facilitated.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (5)
1. A high myopia cataract intraocular lens precision selection system comprising: a data server (100), a data statistics module (200), a comparison analysis module (300), a detection comparison module (400), a selection module (500) and a warehousing management module (600), the data server (100) is electrically and bidirectionally connected with a data storage module (110) and a cloud database (120), the data server (100) is electrically connected with the data statistical module (200), the data statistical module (200) is electrically input and connected with the pre-checking module (210), the data server (100) is electrically connected with a comparison and analysis module (300) in an output way, the comparison and analysis module (300) is electrically connected with the detection and comparison module (400), the detection comparison module (400) is electrically connected with the selection module (500), the data server (100) is electrically connected with the warehouse entry management module (600) in a bidirectional way, the warehousing management module (600) is electrically connected with the crystal positioning module (610) in an input mode.
2. The highly myopic cataract intraocular lens accurate selection system of claim 1, wherein the pre-inspection module (210) monitors vitreous state, axial length, anterior chamber depth, lens thickness, white-to-white distance and corneal radius of curvature of a patient's eye.
3. The system for accurate selection of a highly myopic cataract intraocular lens according to claim 1, wherein the contrast analysis module (300) compares the patient's eyeball data with local data in the data storage module (110) and the cloud database (120).
4. The system of claim 1, wherein the contrast detection and comparison module (400) is configured to compare the intraocular lens with the eye to simulate the effect of different intraocular lenses.
5. The system for precisely selecting a highly myopic cataract intraocular lens according to claim 1, wherein the lens positioning module (610) adopts positioning chips, and the positioning chips are distributed in a one-to-one correspondence with the intraocular lens.
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| CN202010746771.0A CN111863176A (en) | 2020-07-29 | 2020-07-29 | Accurate selection system of high myopia cataract intraocular lens |
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| CN202010746771.0A CN111863176A (en) | 2020-07-29 | 2020-07-29 | Accurate selection system of high myopia cataract intraocular lens |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693360A (en) * | 2012-05-04 | 2012-09-26 | 中国人民解放军第三军医大学第一附属医院 | Intraocular lens management system |
| TWM530125U (en) * | 2016-06-23 | 2016-10-11 | Li-Ru Lai | Selection assistance device for intraocular lens optimization |
| CN106420110A (en) * | 2016-08-24 | 2017-02-22 | 滕植鑫 | Pediatric intraocular lens degree prediction method |
| CN110211686A (en) * | 2019-06-11 | 2019-09-06 | 复旦大学附属眼耳鼻喉科医院 | A kind of high myopia cataract intraocular lens precisely select system |
| CN110840408A (en) * | 2019-11-29 | 2020-02-28 | 新乡医学院第一附属医院(河南省结核病医院) | Gynaecology and obstetrics's disease medical treatment diagnosis and treatment system based on thing networking |
-
2020
- 2020-07-29 CN CN202010746771.0A patent/CN111863176A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693360A (en) * | 2012-05-04 | 2012-09-26 | 中国人民解放军第三军医大学第一附属医院 | Intraocular lens management system |
| TWM530125U (en) * | 2016-06-23 | 2016-10-11 | Li-Ru Lai | Selection assistance device for intraocular lens optimization |
| CN106420110A (en) * | 2016-08-24 | 2017-02-22 | 滕植鑫 | Pediatric intraocular lens degree prediction method |
| CN110211686A (en) * | 2019-06-11 | 2019-09-06 | 复旦大学附属眼耳鼻喉科医院 | A kind of high myopia cataract intraocular lens precisely select system |
| CN110840408A (en) * | 2019-11-29 | 2020-02-28 | 新乡医学院第一附属医院(河南省结核病医院) | Gynaecology and obstetrics's disease medical treatment diagnosis and treatment system based on thing networking |
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