Method, device, and computer program for providing guide for multifocal intraocular lens implantation on basis of analysis of patient's corneal condition

Abstract

Provided are a method, a device, and a computer program for providing a guide for multifocal intraocular lens implantation on the basis of an analysis of a patient's corneal condition. The method for providing a guide for multifocal intraocular lens implantation on the basis of an analysis of a patient's corneal condition, which is performed by a computing device, comprises the steps of: obtaining ocular data generated by scanning a patient's ocular area; analyzing the obtained ocular data to determine the patient's corneal condition; and providing a guide for multifocal intraocular lens implantation to be performed on the patient on the basis of the determined corneal condition of the patient.

Description

Method, device, and computer program for providing guidance for multifocal intraocular lens implantation based on analysis of the patient's corneal condition

[0001] Various embodiments of the present invention relate to a method, device, and computer program for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition.

[0002] In recent years, the field of cataract surgery has been attracting attention for technological advancements that aim not only to restore patients' vision but also to improve the quality of their vision. One such advancement is cataract surgery using multifocal intraocular lenses (IOLs). Multifocal IOLs are designed to allow patients to see clearly at near, intermediate, and far distances, dramatically expanding their range of vision compared to traditional monofocal IOLs. This has led to a significant improvement in the quality of life for many patients.

[0003] However, for multifocal IOL implantation to be successful, several prerequisites must be met. One important prerequisite is that the patient's eye itself maintains normal shape and function, excluding cataracts. Among these, the health and function of the cornea are particularly crucial for the success of the surgery. The cornea, located at the front of the eye, plays a crucial role in refracting light and focusing it on the retina. If the cornea's shape and refractive power are inadequate, even with multifocal IOL implantation, it will be difficult to achieve the expected visual improvement.

[0004] Corneal topography equipment is currently widely used to diagnose corneal optical function. This equipment precisely measures the shape of the cornea and is essential for diagnosing refractive errors. However, current corneal topography analysis methods have several limitations. First, specific criteria for diagnosing the impact of analysis results on actual visual acuity are unclear. This makes it difficult to accurately assess corneal condition and plan surgical procedures. Second, current methods primarily focus on data within a 6 mm diameter central cornea and lack a method for simultaneously assessing the overall optical function, including the periphery of the cornea. This limits the ability to comprehensively understand the overall corneal condition, which can be particularly problematic in cases requiring precise vision correction, such as multifocal intraocular lens implantation.

[0005] The background technology described above is technology that the inventor possessed or acquired in the process of deriving the content of the present invention, and cannot necessarily be said to be publicly known technology disclosed to the general public prior to the present application.

[0006] The problem to be solved by the present invention is to provide a method, device and computer program for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition, which can increase the success rate of cataract surgery using a multifocal intraocular lens and greatly contribute to improving the patient's vision and quality of life by more accurately and precisely determining the patient's corneal condition and providing a guide related to multifocal intraocular lens implantation based on the result, for the purpose of solving the above-described conventional problems.

[0007] The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] A method for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition according to an embodiment of the present invention for solving the above-described problem may include a step of obtaining eye data generated by scanning a patient's eye area, a step of analyzing the obtained eye data to determine a corneal condition of the patient, and a step of providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the determined corneal condition of the patient, in a method performed by a computing device.

[0009] In various embodiments, the step of determining the corneal condition of the patient may include the step of analyzing the acquired ocular data to derive an index related to irregularity of the corneal surface, and the step of determining the corneal condition of the patient using the derived index.

[0010] In various embodiments, the step of calculating the index may include the step of generating a plurality of sections by dividing the corneal area of ​​the patient into predetermined intervals based on the corneal apex or the center of the pupil, and the step of calculating a plurality of higher order aberrations (HOAs) for each of the generated plurality of sections as an index related to the irregularity of the corneal surface.

[0011] In various embodiments, the step of calculating the index may include the step of generating a plurality of sections by dividing the corneal area of ​​the patient into predetermined intervals based on the corneal vertex or the center of the pupil, the step of calculating a plurality of higher order aberrations (HOAs) for each of the plurality of previously generated sections, and the step of calculating the amount of change in higher order aberrations between adjacent sections as an index related to the irregularity of the corneal surface.

[0012] In various embodiments, the step of determining the corneal condition of the patient using the calculated indicator may include the step of calculating a plurality of reference indicators using a plurality of eye data generated by scanning the eyes of normal people without a history of ophthalmic surgery, setting a normal range using the calculated plurality of reference indicators, and determining the corneal condition of the patient based on whether the calculated indicators are included within the set normal range.

[0013] In various embodiments, the step of determining the corneal condition of the patient based on whether the calculated index is within the set normal range may include the step of determining the corneal condition of the patient as normal if the calculated index is within the set normal range, and the step of determining the corneal condition of the patient as abnormal if the calculated index is outside the set normal range, and the step of determining the corneal condition of the patient as caution if the size of the calculated index is below a threshold value, and the step of determining the corneal condition of the patient as dangerous if the size of the calculated index exceeds the threshold value.

[0014] In various embodiments, the step of determining the corneal condition of the patient using the calculated index may include the steps of calculating a plurality of reference indices using a plurality of eye data generated by scanning the eyes of normal people without a history of ophthalmic surgery, generating a normal group normal distribution using the calculated plurality of reference indices, standardizing the calculated indices, and determining the corneal condition of the patient based on a position of the generated normal group normal distribution corresponding to the standardized indices.

[0015] In various embodiments, the step of providing the guide may include the step of determining the prognosis of multifocal intraocular lens implantation based on the determined corneal condition, and providing a guide that provides information regarding the determined prognosis.

[0016] In various embodiments, the step of providing the guide may include a step of providing a guide recommending refractive surgery prior to performing multifocal intraocular lens implantation on the patient, if the corneal condition is determined to be abnormal based on the determined corneal condition.

[0017] In various embodiments, the step of providing the guide may include providing a guide for using an artificial lens in a multifocal intraocular lens implantation based on the determined corneal state, and providing a guide for guiding caution in using a diffractive intraocular lens when the determined corneal state is determined to be a caution state, and providing a guide for guiding caution in using all multifocal intraocular lenses when the determined corneal state is determined to be a warning state.

[0018] In various embodiments, the step of providing the guide may include a step of providing a user interface that visualizes and outputs a comparison result between the determined corneal condition and the corneal condition of normal people without a history of ophthalmic surgery.

[0019] A computing device for performing a method for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition according to another embodiment of the present invention for solving the above-described problem includes a processor, a network interface, a memory, and a computer program loaded into the memory and executed by the processor, wherein the computer program may include an instruction for obtaining eye data generated by scanning an eye area of ​​a patient, an instruction for analyzing the obtained eye data to determine a corneal condition of the patient, and an instruction for providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the determined corneal condition of the patient.

[0020] According to another embodiment of the present invention for solving the above-described problem, a computer program is coupled to a computing device to execute a method for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition, the method including the steps of acquiring eye data generated by scanning a patient's eye area, analyzing the acquired eye data to determine a corneal condition of the patient, and providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the determined corneal condition of the patient, and can be stored in a recording medium readable by a computing device.

[0021] Other specific details of the present invention are included in the detailed description and drawings.

[0022] According to various embodiments of the present invention, there is an advantage in that the success rate of cataract surgery using a multifocal intraocular lens is increased and the patient's vision and quality of life can be greatly improved by more accurately and precisely determining the patient's corneal condition and providing a guide related to multifocal intraocular lens implantation based on the result.

[0023] The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0024] The following drawings attached to this specification illustrate preferred embodiments of the present invention and, together with the detailed description of the invention, serve to further understand the technical idea of ​​the present invention, and therefore, the present invention should not be interpreted as being limited to matters described in such drawings.

[0025] FIG. 1 is a diagram illustrating a system for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to one embodiment of the present invention.

[0026] FIG. 2 is a diagram illustrating a hardware configuration of a computing device that performs a method for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to another embodiment of the present invention.

[0027] Figure 3 is a flowchart of a method for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to another embodiment of the present invention.

[0028] FIG. 4 is a flowchart illustrating a method for calculating an index for determining a patient's corneal condition in various embodiments.

[0029] FIG. 5 is a diagram illustrating an example of a user interface (UI) for selecting at least one indicator from among a plurality of different types of indicators in various embodiments.

[0030] FIGS. 6 to 10 are diagrams illustrating user interfaces that, in various embodiments, visualize and output the results of comparing the corneal condition of a patient with the corneal condition of normal people.

[0031] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the present invention, and the present invention is defined solely by the scope of the claims.

[0032] The terminology used herein is for the purpose of describing embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms, unless specifically stated otherwise. As used herein, the terms "comprises" and / or "comprising" do not exclude the presence or addition of one or more other components in addition to the components mentioned.

[0033] Throughout this specification, the same reference numerals refer to the same elements, and the term "and / or" includes each and every combination of the elements mentioned. Although terms such as "first," "second," etc. are used to describe various elements, these elements are not limited by these terms. These terms are merely used to distinguish one element from another. Therefore, it should be understood that a first element mentioned below may also be a second element within the technical scope of the present invention.

[0034] The term "component" or "module" as used herein refers to a software or hardware component such as an FPGA or ASIC, and the "component" or "module" performs certain functions. However, the "component" or "module" is not limited to software or hardware. The "component" or "module" may be configured to reside on an addressable storage medium and may be configured to execute one or more processors. Thus, by way of example, the "component" or "module" includes components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functionality provided within the components and "components" or "modules" may be combined into a smaller number of components and "components" or "modules" or further separated into additional components and "components" or "modules."

[0035] Spatially relative terms such as "below," "beneath," "lower," "above," and "upper" can be used to easily describe the relationship between one component and other components as depicted in the drawings. Spatially relative terms should be understood to include different orientations of the components during use or operation in addition to the orientations depicted in the drawings. For example, if a component depicted in the drawings were flipped over, a component described as "below" or "beneath" another component could end up "above" the other component. Thus, the exemplary term "below" can include both the above and below orientations. Components can also be oriented in other directions, and thus spatially relative terms can be interpreted accordingly.

[0036] As used herein, the expressions “first,” “second,” or “first,” “second,” etc., unless the context indicates otherwise, are used to refer to multiple similar objects and to distinguish one object from another, and do not limit the order or importance among the objects.

[0037] As used herein, the expressions "A, B, and C," "A, B, or C," "A, B, and / or C," or "at least one of A, B, and C," "at least one of A, B, or C," "at least one of A, B, and / or C," "at least one selected from A, B, and C," "at least one selected from A, B, or C," "at least one selected from A, B, and / or C," and the like can mean each listed item or all possible combinations of the listed items. For example, "at least one selected from A and B" can refer to (1) A, (2) at least one of A, (3) B, (4) at least one of B, (5) at least one of A and at least one of B, (6) at least one of A and B, (7) at least one of B and A, and (8) both A and B.

[0038] The expression "based on" as used herein is used to describe one or more factors that influence a decision, act of judgment, or action described in a phrase or sentence containing the expression, and this expression does not exclude additional factors that influence the decision, act of judgment, or action.

[0039] As used herein, the expression that a component (e.g., a first component) is “connected” or “connected” to another component (e.g., a second component) may mean that the component is directly connected or connected to the other component, as well as connected or connected via a new other component (e.g., a third component).

[0040] The expression "configured to" used herein may have the meanings of "set to", "having the ability to", "modified to", "made to", "capable of", etc., depending on the context. The expression is not limited to the meaning of "specifically designed in hardware", and for example, a processor configured to perform a specific operation may mean a generic-purpose processor that can perform the specific operation by executing software.

[0041] Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in their common sense to those skilled in the art to which the present invention pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

[0042] In this specification, the term "computer" refers to any type of hardware device including at least one processor, and may also be understood to encompass software components operating on the hardware device, depending on the embodiment. For example, the term "computer" may be understood to encompass, but is not limited to, smartphones, tablet PCs, desktops, laptops, and all user clients and applications running on each device.

[0043] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

[0044] Although each step described in this specification is described as being performed by a computer, the subject of each step is not limited thereto, and at least some of each step may be performed by different devices depending on the embodiment.

[0045]

[0046] FIG. 1 is a diagram illustrating a system for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to one embodiment of the present invention.

[0047] Referring to FIG. 1, a system for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to one embodiment of the present invention may include a computing device (100), a user terminal (200), an external server (300), and a network (400).

[0048] Here, the system for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition illustrated in FIG. 1 is according to one embodiment, and its components are not limited to the embodiment illustrated in FIG. 1, and may be added, changed, or deleted as needed.

[0049] In one embodiment, the computing device (100) can provide a multifocal intraocular lens implantation guide service according to a request obtained from a user.

[0050] Here, the user may be a medical professional performing multifocal intraocular lens implantation, but is not limited thereto, and may be a patient who is a target of multifocal intraocular lens implantation.

[0051] In addition, here, the multifocal intraocular lens implantation guide service may mean a service that analyzes the patient's corneal condition and provides various solutions and guides related to multifocal intraocular lens implantation based on the analysis, for the purpose of improving the success rate of multifocal intraocular lens implantation to be performed on the patient.

[0052] For example, the computing device (100) can determine the prognosis for performing multifocal intraocular lens implantation on the patient based on the result of determining the patient's corneal condition, and can provide a multifocal intraocular lens implantation guide service that provides guidance on the determined prognosis.

[0053] As another example, the computing device (100) may provide a multifocal intraocular lens implantation guide service that recommends an artificial lens suitable for the patient based on the results of determining the patient's corneal condition or guides the patient to an artificial lens that requires caution in use.

[0054] As another example, the computing device (100) can provide a multifocal intraocular lens implantation guide service that provides visualized comparison results between the corneal condition of a patient and the corneal condition of normal people.

[0055] In addition, the multifocal intraocular lens implantation guide service may be a service that provides various information, such as providing diagnostic results for eyes requiring irregular astigmatism treatment or comparing the patient's pre- and post-treatment results.

[0056] In various embodiments, the computing device (100) may be connected to a user terminal (200) via a network (400) and may provide a multifocal intraocular lens implantation guide service to the user terminal (200) in response to a service provision request obtained through the user terminal (200).

[0057] Here, the multifocal intraocular lens implantation guide service provided by the computing device (100) may be implemented in a form accessible through a web-based interface, or may be implemented as application software in the form of an application for mobile and / or desktop, but is not limited thereto.

[0058] Here, the user terminal (200) may refer to any type of entity(ies) in a system having a mechanism for communicating with the computing device (100). For example, the user terminal (200) may include a personal computer (PC), a notebook, a mobile terminal, a smart phone, a tablet PC, a wearable device, etc., and may include all types of terminals capable of connecting to a wired / wireless network. In addition, the user terminal (200) may include any computing device implemented by at least one of an agent, an Application Programming Interface (API), and a plug-in. In addition, the user terminal (200) may include an application source and / or a client application.

[0059] In addition, here, the network (400) may refer to a connection structure that enables information exchange between each node, such as a plurality of terminals and servers. For example, the network (400) may include a local area network (LAN), a wide area network (WAN), the Internet (WWW), a wired and wireless data communication network, a telephone network, a wired and wireless television communication network, a controller area network (CAN), and Ethernet.

[0060] Wireless data communication networks may include, but are not limited to, 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth network, NFC (Near-Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc.

[0061] In one embodiment, the external server (300) may be connected to the computing device (100) via a network (400), and may store and manage various information and data required for the computing device (100) to perform a method for providing a multifocal intraocular lens implantation guide based on analysis of the patient's corneal condition. In addition, the external server (300) may collect, store, and manage various information and data derived as the computing device (100) performs the method for providing a multifocal intraocular lens implantation guide based on analysis of the patient's corneal condition. For example, the external server (300) may be a storage server separately provided outside the computing device (100), but is not limited thereto. Hereinafter, with reference to FIG. 2, a hardware configuration of the computing device (100) that performs the method for providing a multifocal intraocular lens implantation guide based on analysis of the patient's corneal condition will be described.

[0062]

[0063] FIG. 2 is a diagram illustrating a hardware configuration of a computing device that performs a method for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to another embodiment of the present invention.

[0064] Referring to FIG. 2, in various embodiments, a computing device (100) may include one or more processors (110), a memory (120) for loading a computer program (151) executed by the processor (110), a bus (130), a communication interface (140), and storage (150) for storing the computer program (151). Here, only components related to the embodiment of the present invention are illustrated in FIG. 2. Therefore, a person skilled in the art to which the present invention pertains may understand that other general components may be included in addition to the components illustrated in FIG. 2.

[0065] The processor (110) controls the overall operation of each component of the computing device (100). The processor (110) may be configured to include a CPU (Central Processing Unit), an MPU (Micro Processor Unit), an MCU (Micro Controller Unit), a GPU (Graphics Processing Unit), or any other type of processor well known in the art of the present invention.

[0066] Additionally, the processor (110) may perform operations for at least one application or program for executing a method according to embodiments of the present invention, and the computing device (100) may have one or more processors.

[0067] In various embodiments, the processor (110) may further include a Random Access Memory (RAM) (not shown) and a Read-Only Memory (ROM) (not shown) that temporarily and / or permanently store signals (or data) processed within the processor (110). In addition, the processor (110) may be implemented in the form of a System on Chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

[0068] The memory (120) stores various data, commands, and / or information. The memory (120) can load a computer program (151) from the storage (150) to execute methods / operations according to various embodiments of the present invention. When the computer program (151) is loaded into the memory (120), the processor (110) can perform the method / operation by executing one or more instructions constituting the computer program (151). The memory (120) may be implemented as a volatile memory such as RAM, but the technical scope of the present invention is not limited thereto.

[0069] The bus (130) provides a communication function between components of the computing device (100). The bus (130) may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

[0070] The communication interface (140) supports wired and wireless Internet communication of the computing device (100). Furthermore, the communication interface (140) may support various communication methods other than Internet communication. To this end, the communication interface (140) may be configured to include a communication module well known in the technical field of the present invention. In some embodiments, the communication interface (140) may be omitted.

[0071] The storage (150) can non-temporarily store a computer program (151). When performing a process for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition through a computing device (100), the storage (150) can store various information necessary to provide a process for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition.

[0072] Storage (150) may be configured to include non-volatile memory such as ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), flash memory, a hard disk, a removable disk, or any type of computer-readable recording medium well known in the art to which the present invention pertains.

[0073] The computer program (151) may include one or more instructions that, when loaded into the memory (120), cause the processor (110) to perform a method / operation according to various embodiments of the present invention. That is, the processor (110) may perform the method / operation according to various embodiments of the present invention by executing the one or more instructions.

[0074] In one embodiment, the computer program (151) may include one or more instructions for performing a method for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition, including the steps of acquiring ocular data generated by scanning an ocular region of a patient, analyzing the acquired ocular data to determine a corneal condition of the patient, and providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the determined corneal condition of the patient.

[0075] The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or implemented by a combination thereof. The software module may reside in a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD-ROM, or any other form of computer-readable recording medium well known in the art to which the present invention pertains.

[0076] The components of the present invention may be implemented as a program (or application) to be executed in combination with a computer as hardware and stored on a medium. The components of the present invention may be implemented as software programming or software elements, and similarly, the embodiments may be implemented in a programming or scripting language such as C, C++, Java, assembler, etc., including various algorithms implemented as a combination of data structures, processes, routines, or other programming components. Functional aspects may be implemented as an algorithm executed on one or more processors. Hereinafter, with reference to FIGS. 3 to 10, a method for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition performed by a computing device (100) will be described.

[0077]

[0078] Figure 3 is a flowchart of a method for providing a multifocal intraocular lens implantation guide based on analysis of a patient's corneal condition according to another embodiment of the present invention.

[0079] Referring to FIG. 3, at step S110, eye data generated by scanning the patient's eye area can be acquired.

[0080] Here, the ocular data is data acquired through a corneal topography examination device (e.g., Pentacam®), and may be, but is not limited to, 3D image data of the cornea generated using the Scheimpflug method.

[0081] Scheimpflug is based on the optical theory that images with deep depth of field can be captured when the camera's lens plane, object plane, and image plane are set to coincide at a specific angle where they intersect each other. Unlike general photography techniques, it can precisely capture depth information of three-dimensional objects rather than flat objects.

[0082] In 3D corneal imaging, a Schimpflug camera captures high-resolution cross-sections of the cornea and anterior chamber, and software synthesizes these cross-sectional images to create a 3D corneal model. This model precisely represents various optical and structural characteristics of the cornea, including its overall shape, asymmetry, irregularity, curvature, and thickness.

[0083] At step S120, the computing device (100) can analyze the ocular data acquired through step S110 to determine the condition of the patient's cornea.

[0084] In various embodiments, the computing device (100) can analyze ocular data to produce an index, and use the produced index to determine the condition of the patient's cornea.

[0085] Here, the indicator is an indicator related to the irregularity of the corneal surface, and may be, for example, higher order aberrations (HOAs) (e.g., spherical aberration, coma aberration, trefoil aberration, etc.), but is not limited thereto.

[0086] In various embodiments, the computing device (100) may generate multiple segments by segmenting the patient's ocular region, and analyze ocular data corresponding to each of the multiple segments to derive indicators related to corneal surface irregularities. This will be described in more detail below with reference to FIG. 4.

[0087]

[0088] FIG. 4 is a flowchart illustrating a method for calculating an index for determining a patient's corneal condition in various embodiments.

[0089] Referring to FIG. 4, in step S210, the computing device (100) may select a location among the pupil center or the corneal vertex as a reference and divide the patient's corneal area into predetermined intervals to generate a plurality of sections. For example, when the radius of the patient's corneal area is 7 mm, the computing device (100) may divide the area with a radius of 7 mm into 1 mm intervals based on the pupil center or the corneal vertex to generate a first section (section within a radius of 2 mm), a second section (section within a radius of 3 mm), a third section (section within a radius of 4 mm), a fourth section (section within a radius of 5 mm), a fifth section (section within a radius of 6 mm), and a sixth section (section within a radius of 7 mm), but is not limited thereto.

[0090] At step S220, the computing device (100) can individually calculate higher order aberrations for each of the plurality of sections as indicators related to the irregularity of the corneal surface.

[0091] For example, the computing device (100) can calculate higher order aberrations for each of the multiple sections by analyzing eye data corresponding to each of the multiple sections based on an analysis method using Zernike polynomials. The higher order aberrations calculated using the analysis method using Zernike polynomials can be quantitatively expressed by decomposing higher order aberrations including corneal refractive errors into Zernike polynomials.

[0092] At step S230, the computing device (100) can calculate the change in higher-order aberrations between adjacent sections as an indicator related to the irregularity of the corneal surface. For example, the computing device (100) can calculate the first change in higher-order aberrations based on the difference between the higher-order aberrations in the first section and the higher-order aberrations in the second section, and can calculate the second change in higher-order aberrations based on the difference between the higher-order aberrations in the second section and the higher-order aberrations in the third section, but is not limited thereto.

[0093] Again, referring to FIG. 3, in various embodiments, the computing device (100) can determine the condition of the patient's cornea using indicators derived from the patient's ocular data.

[0094] In various embodiments, the computing device (100) can determine the condition of the patient's cornea based on whether an indicator derived from the patient's ocular data falls within a normal range.

[0095] More specifically, first, the computing device (100) can establish a normal range using multiple sets of eye data generated by scanning the eyes of normal individuals without a history of ophthalmic surgery. For example, the computing device (100) can calculate multiple reference indices using multiple sets of eye data generated by scanning the eyes of normal individuals without a history of ophthalmic surgery, and can establish a normal range using the multiple reference indices.

[0096] For example, the computing device (100) can calculate an average value of a plurality of reference indices (e.g., higher order aberrations and / or higher order aberration changes) derived from a plurality of eye data for normal people, and can set a range of ±2 standard deviations of the calculated average value of the reference indices as a normal range.

[0097] Thereafter, the computing device (100) can determine the condition of the patient's cornea based on whether the indicator calculated from the patient's eye data is within the normal range.

[0098] For example, the computing device (100) can determine that the patient's corneal condition is normal if the indicator falls within the normal range.

[0099] Meanwhile, the computing device (100) can determine that the patient's corneal condition is abnormal if the indicator is outside the normal range.

[0100] In various embodiments, the computing device (100) may determine the patient's corneal condition as abnormal if the indicator is outside the normal range, determine the patient's corneal condition as caution if the indicator's size is below a threshold value, and determine the patient's corneal condition as dangerous if the indicator's size exceeds the threshold value.

[0101] For example, the computing device (100) can determine the patient's corneal condition as being in a state of attention when an index (e.g., higher order aberration and / or higher order aberration change) calculated from the patient's eye data falls within a range of -3 standard deviations to -2 standard deviations of the reference index average value, or is more than +2 standard deviations and less than +3 standard deviations of the reference index average value.

[0102] Meanwhile, the computing device (100) can determine the patient's corneal condition as being at risk if an index (e.g., higher order aberration and / or higher order aberration change) calculated from the patient's eye data falls within a range of -3 standard deviations or less of the reference index average value, or falls within a range of +3 standard deviations or more of the reference index average value.

[0103] In various embodiments, the computing device (100) may individually determine the condition of each of the plurality of sections generated by segmenting the corneal region of the patient. For example, the computing device (100) may individually set a normal range for each of the plurality of sections by using a reference index of each of the plurality of sections calculated by analyzing eye data of normal individuals, and may individually determine the corneal condition of each of the plurality of sections by comparing the index of each of the plurality of sections calculated by analyzing the eye data of the patient with the normal range individually set for each of the plurality of sections.

[0104] In various embodiments, the computing device (100) can determine the condition of the patient's cornea by comparing indicators extracted from the patient's ocular data with a normal distribution of a normal group.

[0105] More specifically, first, the computing device (100) can calculate a plurality of reference indices using a plurality of eye data generated by scanning the eyes of normal people without a history of ophthalmic surgery, and can generate a normal group normal distribution using the plurality of reference indices.

[0106] Thereafter, the computing device (100) can standardize the indicators derived from the patient's ocular data. Here, standardizing the indicators may involve, but is not limited to, calculating a Z-score for the indicators.

[0107] Thereafter, the computing device (100) can determine the corneal condition of the patient based on the position of the normal distribution corresponding to the standardized index. For example, the computing device (100) can determine the corneal condition of the patient as normal if the standardized index is located within the range of -2 to +2 of the normal distribution of the normal group. On the other hand, the computing device (100) can determine the corneal condition of the patient as abnormal if the standardized index is located within the range of -2 or less or +2 or more of the normal distribution of the normal group.

[0108] At step S130, the computing device (100) can provide a guide for multifocal intraocular lens implantation to be performed on the patient based on the corneal condition of the patient determined through step S120.

[0109] For example, the computing device (100) can determine the prognosis for performing multifocal intraocular lens implantation on the patient based on the result of determining the patient's corneal condition, and can provide guidance on the determined prognosis. For example, the computing device (100) can provide guidance on the possibility of light flare occurring after multifocal intraocular lens implantation when the higher-order aberration of the patient's cornea deviates from the average value of the higher-order aberration of the cornea of ​​normal people by ±2 standard deviations. In addition, the computing device (100) can provide guidance on the possibility of visual acuity deterioration occurring after multifocal intraocular lens implantation when the amount of change in the higher-order aberration of the patient's cornea deviates from the average value of the amount of change in the higher-order aberration of the cornea of ​​normal people by ±2 standard deviations.

[0110] As another example, the computing device (100) may recommend an artificial lens suitable for the patient based on the results of assessing the patient's corneal condition, or may provide guidance on the use of an artificial lens that requires caution. For example, if the computing device (100) determines that the patient's corneal condition is in a cautionary state, it may provide guidance on caution in the use of a diffractive artificial lens. Furthermore, if the computing device (100) determines that the patient's corneal condition is in a warning state, it may provide guidance on caution in the use of all multifocal artificial lenses.

[0111] As another example, if the computing device (100) determines that the patient's corneal condition is abnormal, it may provide a guide recommending refractive surgery (e.g., topography guided surgery or wavefront guided surgery) prior to performing multifocal intraocular lens implantation surgery on the patient.

[0112] As another example, the computing device (100) may provide a visualized comparison of the corneal condition of a patient with the corneal condition of normal individuals. For example, the computing device (100) may provide a UI that visualizes and outputs the comparison of the corneal condition of a patient with the corneal condition of normal individuals without a history of ophthalmic surgery.

[0113] Referring to FIG. 5, the UI provided by the computing device can list and provide various types of indicators that can be derived from eye data, and when at least one indicator among multiple types of indicators is selected by the user, the results of comparing the corneal condition of the patient and the corneal condition of normal people based on the selected at least one indicator can be visualized and displayed through the UI.

[0114] Here, the visualization of the results comparing the corneal condition of the patient with that of normal people may be done in the form of a table as shown in Fig. 6, or in the form of a graph as shown in Figs. 7 to 10, but is not limited thereto.

[0115] In various embodiments, the computing device (100) may individually determine the corneal condition of the patient for each of the plurality of sections generated by dividing the corneal region, and may individually provide a guide for each of the plurality of sections based on the corneal condition of each of the plurality of sections. In addition, the computing device (100) may individually determine the corneal condition of the left and right eyes of the patient using eye data of each of the left and right eyes, and accordingly provide a guide for each of the left and right eyes.

[0116] For example, if the result of comparing the corneal condition of the patient with the corneal condition of normal people is as shown in FIG. 5, the computing device (100) can provide individual guides for the left and right eyes, such as “topography-guided surgery is required for the right eye, use all multifocal intraocular lenses with caution”, “topography-guided surgery is required for the left eye, refractive intraocular lenses can be used if the daytime pupil size is 3 mm or less, use all multifocal intraocular lenses with caution”, and can provide individual guides for each section for the left and right eyes, respectively.

[0117]

[0118] The method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition described above has been described with reference to the flowchart illustrated in the drawings. For the sake of simplicity, the method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition has been described by illustrating it as a series of blocks. However, the present invention is not limited to the order of the blocks, and some blocks may be performed in a different order or simultaneously from those illustrated and described in the present specification. In addition, new blocks not described in the present specification and drawings may be added, or some blocks may be deleted or changed.

[0119]

[0120] While the embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without altering the technical concept or essential features thereof. Therefore, the embodiments described above should be understood to be illustrative in all respects and not restrictive.

Claims

1. A method performed by a computing device, A step of acquiring eye data generated by scanning the patient's eye area; A step of analyzing the acquired ocular data to determine the corneal condition of the patient; and A step of providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the corneal condition of the patient determined above, Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

2. In paragraph 1, The steps for judging the corneal condition of the above patient are: A step of analyzing the above-mentioned acquired ocular data to derive an index related to the irregularity of the corneal surface; and A step of determining the corneal condition of the patient using the above-described calculated index, Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

3. In paragraph 2, The steps for calculating the above indicators are: A step of generating a plurality of sections by dividing the corneal area of ​​the patient into predetermined intervals based on the corneal vertex or the center of the pupil; and As an indicator related to the irregularity of the corneal surface, comprising a step of calculating multiple higher order aberrations (HOAs) for each of the generated multiple sections. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

4. In paragraph 2, The steps for calculating the above indicators are: A step of generating a plurality of sections by dividing the corneal area of ​​the patient into predetermined intervals based on the corneal vertex or the center of the pupil; A step of calculating multiple higher order aberrations (HOAs) for each of the multiple generated sections; and As an indicator related to the irregularity of the corneal surface, including a step of calculating the amount of change in high-order aberrations between adjacent sections, Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

5. In paragraph 2, The step of judging the patient's corneal condition using the above-mentioned calculated index is: A step of calculating multiple reference indices using multiple eye data generated by scanning the eyes of normal people without a history of ophthalmic surgery, and setting a normal range using the calculated multiple reference indices; and Including a step of judging the corneal condition of the patient based on whether the above-described calculated index is within the above-described set normal range. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

6. In paragraph 3, The step of judging the patient's corneal condition based on whether the above-mentioned calculated index is within the above-mentioned set normal range is as follows: If the above calculated indicator falls within the set normal range, a step of determining the patient's corneal condition as normal; and Including a step of determining the patient's corneal condition as abnormal if the calculated index is out of the set normal range, determining the patient's corneal condition as caution if the size of the calculated index is below the threshold value, and determining the patient's corneal condition as dangerous if the size of the calculated index exceeds the threshold value. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

7. In paragraph 2, The step of judging the patient's corneal condition using the above-mentioned calculated index is: A step of generating multiple reference indices by using multiple eye data generated by scanning the eyes of normal people with no history of ophthalmic surgery, and generating a normal group normal distribution by using the generated multiple reference indices; and A step of standardizing the above-mentioned generated indicator and determining the corneal condition of the patient based on the position of the generated normal group normal distribution corresponding to the above-mentioned standardized indicator. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

8. In paragraph 1, The steps to provide the above guide are: A step of determining the prognosis of multifocal intraocular lens implantation based on the determined corneal condition and providing a guide that provides information on the determined prognosis. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

9. In paragraph 1, The steps to provide the above guide are: Including a step of providing a guide recommending refractive surgery prior to performing multifocal intraocular lens implantation on the patient, if the corneal condition is determined to be abnormal based on the above-determined condition. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

10. In paragraph 1, The steps to provide the above guide are: A method of providing a guide for using an artificial lens in a multifocal artificial lens implantation surgery based on the determined corneal condition, comprising the steps of providing a guide for guiding caution in the use of a diffractive artificial lens if the determined corneal condition is determined to be a caution state, and providing a guide for guiding caution in the use of all multifocal artificial lenses if the determined corneal condition is determined to be a warning state. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

11. In paragraph 1, The steps to provide the above guide are: A step of providing a user interface that visualizes and outputs the results of comparing the corneal condition determined above with the corneal condition of normal people without a history of ophthalmic surgery. Method for providing a guide for multifocal intraocular lens implantation based on analysis of the patient's corneal condition.

12. Processor; network interface; memory; and A computer program loaded into the above memory and executed by the above processor, The above computer program, Instructions for obtaining eye data generated by scanning the patient's eye area; Instructions for analyzing the acquired ocular data to determine the corneal condition of the patient; and Based on the corneal condition of the patient as judged above, an instruction is provided that provides a guide for multifocal intraocular lens implantation to be performed on the patient. A computing device that performs a method for providing a guide for implanting a multifocal artificial lens based on analysis of a patient's corneal condition.

13. Combined with a computing device, A step of acquiring eye data generated by scanning the patient's eye area; A step of analyzing the acquired ocular data to determine the corneal condition of the patient; and A computer program stored in a recording medium readable by a computing device to execute a method for providing a guide for multifocal intraocular lens implantation based on analysis of a patient's corneal condition, the method including a step of providing a guide for multifocal intraocular lens implantation to be performed on the patient based on the determined corneal condition of the patient.

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