JP2018051223A5 - - Google Patents

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JP2018051223A5
JP2018051223A5 JP2016194227A JP2016194227A JP2018051223A5 JP 2018051223 A5 JP2018051223 A5 JP 2018051223A5 JP 2016194227 A JP2016194227 A JP 2016194227A JP 2016194227 A JP2016194227 A JP 2016194227A JP 2018051223 A5 JP2018051223 A5 JP 2018051223A5
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iol
eye
mathematical model
frequency
ophthalmologic apparatus
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JP2016194227A
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JP6900647B2 (en
JP2018051223A (en
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Priority claimed from JP2016194227A external-priority patent/JP6900647B2/en
Priority to PCT/JP2017/027547 priority patent/WO2018021561A1/en
Priority to EP17834563.3A priority patent/EP3491996A4/en
Publication of JP2018051223A publication Critical patent/JP2018051223A/en
Publication of JP2018051223A5 publication Critical patent/JP2018051223A5/ja
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Claims (7)

被検眼に挿入するIOLの度数を決定するための眼科装置であって、
被検眼の複数の眼形状パラメータを取得するパラメータ取得手段と、
IOL度数を演算する演算制御手段と、を備え、
前記演算制御手段は、機械学習アルゴリズムによって訓練された数学モデルに前記複数の眼形状パラメータを入力することによって、前記数学モデルからIOL関連情報を出力させることを特徴とする眼科装置。
An ophthalmologic apparatus for determining the frequency of an IOL to be inserted into a subject eye,
Parameter acquisition means for acquiring a plurality of eye shape parameters of the eye to be examined;
Calculation control means for calculating the IOL frequency,
The arithmetic control unit outputs IOL related information from the mathematical model by inputting the plurality of eye shape parameters to a mathematical model trained by a machine learning algorithm.
前記演算制御手段は、前記数学モデルに前記複数の眼形状パラメータを入力することによって、前記数学モデルから前記IOL関連情報としてIOL度数を出力させることを特徴とする請求項1の眼科装置。   2. The ophthalmologic apparatus according to claim 1, wherein the arithmetic control unit outputs an IOL frequency as the IOL related information from the mathematical model by inputting the plurality of eye shape parameters to the mathematical model. 前記演算制御手段は、複数のIOL度数計算式のうち適切な式を選択するための選択情報を前記数学モデルに出力させることを特徴とする請求項1の眼科装置。   The ophthalmic apparatus according to claim 1, wherein the arithmetic control unit causes the mathematical model to output selection information for selecting an appropriate expression among a plurality of IOL frequency calculation expressions. 前記眼形状パラメータは、水晶体の嚢径を含むことを特徴とする請求項1〜3のいずれかの眼科装置。   The ophthalmic apparatus according to claim 1, wherein the eye shape parameter includes a capsule diameter of a crystalline lens. 前記演算制御手段は、前記眼形状パラメータの他に、患者の人種、性別、年齢、IOLモデル、術者の少なくともいずれかの特徴に関する特徴パラメータを前記数学モデルに入力することを特徴とする請求項1■4のいずれかの眼科装置。   The arithmetic control unit inputs, in addition to the eye shape parameter, a feature parameter related to at least one of the characteristics of a patient's race, sex, age, IOL model, and operator to the mathematical model. The ophthalmic apparatus according to any one of Items 1 to 4. 前記特徴パラメータは、既に前記被検眼に挿入されているIOLに関する情報を含むことを特徴とする請求項5の眼科装置。   6. The ophthalmologic apparatus according to claim 5, wherein the characteristic parameter includes information related to an IOL that has already been inserted into the eye to be examined. 被検眼に挿入するIOLの度数を決定するための眼科装置において実行されるIOL度数決定プログラムであって、前記眼科装置のプロセッサによって実行されることで、
被検眼の複数の眼形状パラメータを取得するパラメータ取得ステップと、
機械学習アルゴリズムによって訓練された数学モデルに前記複数の眼形状パラメータを入力することによって、前記数学モデルからIOL関連情報を出力させる演算ステップと、を前記眼科装置に実行させることを特徴とするIOL度数決定プログラム。
An IOL frequency determination program executed in an ophthalmologic apparatus for determining the frequency of an IOL to be inserted into an eye to be examined, which is executed by a processor of the ophthalmologic apparatus,
A parameter obtaining step for obtaining a plurality of eye shape parameters of the eye to be examined;
An IOL frequency that causes the ophthalmologic apparatus to perform an operation step of outputting IOL-related information from the mathematical model by inputting the plurality of eye shape parameters into the mathematical model trained by a machine learning algorithm Decision program.
JP2016194227A 2016-07-29 2016-09-30 Ophthalmic device and IOL power determination program Active JP6900647B2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2016194227A JP6900647B2 (en) 2016-09-30 2016-09-30 Ophthalmic device and IOL power determination program
PCT/JP2017/027547 WO2018021561A1 (en) 2016-07-29 2017-07-28 Ophthalmologic device and iol power determination program
EP17834563.3A EP3491996A4 (en) 2016-07-29 2017-07-28 Ophthalmologic device and iol power determination program

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2016194227A JP6900647B2 (en) 2016-09-30 2016-09-30 Ophthalmic device and IOL power determination program

Publications (3)

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JP2018051223A JP2018051223A (en) 2018-04-05
JP2018051223A5 true JP2018051223A5 (en) 2019-09-26
JP6900647B2 JP6900647B2 (en) 2021-07-07

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Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108670192B (en) * 2018-04-21 2019-08-16 重庆贝奥新视野医疗设备有限公司 A kind of multispectral eyeground imaging system and method for dynamic vision stimulation
US10888380B2 (en) * 2018-07-12 2021-01-12 Alcon Inc. Systems and methods for intraocular lens selection
CA3121802A1 (en) * 2018-12-06 2020-06-11 Advanced Euclidean Solutions, Llc Apparatus and method for intraocular lens selection using post-operative measurements
JP2020103579A (en) * 2018-12-27 2020-07-09 キヤノン株式会社 Image processing device, image processing method, and program
EP3690888A1 (en) 2019-01-31 2020-08-05 Nidek Co., Ltd. Ophthalmologic image processing device and ophthalmologic image processing program
CN110211686B (en) * 2019-06-11 2023-07-25 复旦大学附属眼耳鼻喉科医院 High myopia cataract intraocular lens accurate selection system
KR102323355B1 (en) * 2019-08-27 2021-11-09 주식회사 비쥬웍스 Method for predecting a vaulting value and apparatus using the method
KR102303522B1 (en) * 2019-08-27 2021-09-17 주식회사 비쥬웍스 Method for determining lens and apparatus using the method
JP7248347B2 (en) * 2019-08-27 2023-03-29 ビジュウォクス LENS DETERMINATION METHOD AND DEVICE USING THE SAME
TWI761931B (en) * 2019-08-27 2022-04-21 南韓商維蘇瓦克斯公司 Method for determining lens and apparatus using the method
DE102020101764A1 (en) 2020-01-24 2021-07-29 Carl Zeiss Meditec Ag MACHINE-LEARNING BASED BREAKING FORCE DETERMINATION FOR MEASURES TO CORRECT THE VISIBILITY OF OCT IMAGES
CN112120666A (en) * 2020-10-14 2020-12-25 上海爱尔眼科医院有限公司 Lens refractive power measuring and calculating method, device, equipment and storage medium
CN112949197B (en) * 2021-03-08 2022-09-09 北京理工大学 Flat convex lens curvature radius online measurement method based on deep learning

Family Cites Families (7)

* Cited by examiner, † Cited by third party
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JP4014438B2 (en) * 2001-06-20 2007-11-28 株式会社ビジョンメガネ Glasses / contact lens power determination system and method
JP2007531559A (en) * 2004-02-20 2007-11-08 オフソニックス,インク System and method for analyzing wavefront aberrations
US7370969B2 (en) * 2004-03-31 2008-05-13 Nidek Co., Ltd. Corneal topography analysis system
JP5484157B2 (en) * 2010-03-30 2014-05-07 株式会社ニデック Ophthalmic equipment
DE102011106714A1 (en) * 2011-07-06 2013-01-10 Carl Zeiss Meditec Ag "Method for optimized prediction of the postoperative, anatomical position of an intraocular lens implanted in a pseudophakic eye"
US9968295B2 (en) * 2013-08-07 2018-05-15 Novartis Ag Surgical guidance and planning software for astigmatism treatment
EP3116442A1 (en) * 2014-03-10 2017-01-18 Amo Groningen B.V. Intraocular lens that improves overall vision where there is a local loss of retinal function

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