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Patent Searching and Data


Title:
GLAUCOMA DIAGNOSIS DEVICE, SYSTEM, AND METHOD
Document Type and Number:
WIPO Patent Application WO/2023/128000
Kind Code:
A1
Abstract:
A glaucoma diagnosis device, system, and method are disclosed. A glaucoma diagnosis device according to one embodiment comprises: a data input unit that receives clinical information of a subject; and a diagnosis unit that diagnoses whether the subject has glaucoma from the clinical information by using a machine learning-based glaucoma diagnosis model, and generates a graphic chart to explain the reason for a diagnosis result, wherein the clinical information includes a pattern standard deviation obtained through a superior retinal nerve fiber layer thickness, an inferior retinal nerve fiber layer thickness, a temporal retinal nerve fiber layer thickness, an intraocular pressure, and a visual field test.

Inventors:
KIM SEONG JAE (KR)
OH SE JONG (KR)
CHO KYOUNG JIN (KR)
Application Number:
PCT/KR2021/020177
Publication Date:
July 06, 2023
Filing Date:
December 29, 2021
Export Citation:
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Assignee:
GYEONGSANG NATIONAL UNIV HOSPITAL (KR)
International Classes:
A61B3/00; A61B3/10; G16H50/20
Foreign References:
KR102099214B12020-04-09
JP2021168913A2021-10-28
KR102295426B12021-08-30
Other References:
OH SEJONG, YULI PARK, KYONG JIN CHO AND SEONG JAE KIM: "Explainable machine learning model for glaucoma diagnosis and its interpretation", DIAGNOSTICS, vol. 11, 13 March 2021 (2021-03-13), pages 510, XP093074402
PARK CHAN KEE, JUNG WON HAN, JUNG IL MOON, MYUNG DEOK AHN : "The Comprehensive Glaucoma Diagnostic Model and Its Efficacy in Korean", J KOREAN OPHTHALMOL SOC., vol. 42, no. 2, 1 January 2001 (2001-01-01), pages 297 - 303, XP093074404
Attorney, Agent or Firm:
LEECHAE INTELLECTUAL PROPERTY (KR)
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