DEVICE AND METHOD FOR PREDICTING MYOPIA REGRESSION

Title:

DEVICE AND METHOD FOR PREDICTING MYOPIA REGRESSION

Document Type and Number:

WIPO Patent Application WO/2024/080459

Kind Code:

A1

Abstract:

Provided is a medical device for predicting myopia regression. This medical device for predicting myopia regression may be configured to predict, by using a machine learning processor, at least one of a probability of occurrence of myopic regression and whether myopic regression will occur, from numerical data including a refractive power, a corneal curvature, an axial length, a photopic pupil size, a scotopic pupil size, a corneal diameter, a corneal thickness, a corneal epithelial thickness, a higher-order aberration, visual acuity, an intraocular pressure, gender, and age.

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Inventors:

LEE SEONG JUN (KR)
LEE DAE HONG (KR)
YE JAE HYUNG (KR)
LEE KWANG YEOL (KR)

Application Number:

PCT/KR2023/002165

Publication Date:

April 18, 2024

Filing Date:

February 14, 2023

Export Citation:

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Assignee:

AIVIS INC (KR)
LEE SEONG JUN (KR)

International Classes:

G16H50/50; A61B3/14; A61B5/00; A61B5/024; A61B5/145; G16H10/60; G16H30/20; G16H40/60; G16H50/70

Foreign References:

KR20220027305A	2022-03-08
KR20200077085A	2020-06-30
KR20190140301A	2019-12-19
KR20210084214A	2021-07-07
KR102336111B1	2021-12-08

Attorney, Agent or Firm:

KIM, Hyoung Jun et al. (KR)

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