Method for determining lens and apparatus using the method

Abstract

A method for determining a lens and apparatus using the method are disclosed. According to an embodiment, a method for determining a lens to be inserted into an eyeball during lens implant surgery using machine learning may be provided, the method comprising: obtaining a plurality of examination data of a person to be operated on; and determining a size of a lens to be inserted into an eyeball of the person among a plurality of lens sizes by inputting the obtained plurality of examination data of the person to a lens determination model, wherein the lens determination model is different from a formula for determining a lens to be inserted into an eyeball during lens implant surgery, and is trained based on examination data of patients who have had lens implant surgery in the past and size information of lenses inserted into eyeballs of the patients.

1 . A method for predicting a vaulting value representing a distance between a rear surface of a lens to be inserted into an eyeball of a person to be operated on with lens implant surgery and an anterior surface of a crystalline lens, the method comprising:
 inputting examination data of the person to be operated on and one or more lens sizes to a vaulting value prediction model;   predicting vaulting value corresponding to the one or more input lens sizes from the vaulting value prediction model; and   obtaining, based on the vaulting value corresponding to the one or more input lens sizes, a lens size for the person to be operated on, from among the one or more lens sizes,   wherein the vaulting value prediction model is trained based on examination data of patients who have had lens implant surgery in the past, size information of lenses inserted into eyeballs of the patients, and vaulting values measured after surgery of the patients.   
     
     
         2 . The method of  claim 1 ,
 wherein the vaulting value is defined as the shortest distance among a plurality of distances between the rear surface of the lens to be inserted into the eyeball of the person to be operated on with the lens implant surgery and the anterior surface of the crystalline lens.   
     
     
         3 . The method of  claim 1 , further comprising:
 providing information about whether a lens having a lens size corresponding to the predicted vaulting value is suitable for the eyeball of the person to be operated on based on whether the predicted vaulting value satisfies a condition of a predetermined range.   
     
     
         4 . The method of  claim 3 ,
 wherein the condition of the predetermined range satisfies the predicted vaulting value being included within a range of 250 to 750 μm.   
     
     
         5 . A method for predicting a vaulting value representing a distance between a rear surface of a lens to be inserted into an eyeball of a person to be operated on with lens implant surgery and an anterior surface of a crystalline lens, the method comprising:
 inputting examination data of the person to be operated on to a vaulting value prediction model;   predicting expected lens size and the vaulting value corresponding to the expected lens size from the vaulting value prediction model; and   determining whether the expected lens size is suitable for the eyeball of the person to be operated on based on the predicted vaulting value,   wherein the vaulting value prediction model may be trained based on a plurality of examination data of patients who have had lens implant surgery in the past, sizes of lenses inserted into eyeballs of the patients, and vaulting values measured after surgery of the patients.   
     
     
         6 . The method of  claim 5 ,
 wherein the expected lens size is one of a plurality of preset lens sizes.   
     
     
         7 . The method of  claim 5 ,
 wherein the expected lens size is one of non-standardized lens sizes rather than a plurality of preset lens sizes.   
     
     
         8 . A device for predicting a vaulting value representing a distance between a rear surface of a lens to be inserted into an eyeball of a person to be operated on with lens implant surgery and an anterior surface of a crystalline lens, the device comprising:
 a memory, which stores examination data of the person to be operated on; and   a processor,   wherein the processor is configured to:   input examination data of the person to be operated on and one or more lens sizes to a vaulting value prediction model,   predict vaulting value corresponding to the one or more input lens sizes from the vaulting value prediction model, and   obtain, based on the vaulting value corresponding to the one or more input lens sizes, a lens size for the person to be operated on, from among the one or more lens sizes,   wherein the vaulting value prediction model is trained based on examination data of patients who have had lens implant surgery in the past, sizes of lenses inserted into eyeballs of the patients, and vaulting values measured after surgery of the patients.