AU2022304526B2 - Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof - Google Patents

Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof Download PDF

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AU2022304526B2
AU2022304526B2 AU2022304526A AU2022304526A AU2022304526B2 AU 2022304526 B2 AU2022304526 B2 AU 2022304526B2 AU 2022304526 A AU2022304526 A AU 2022304526A AU 2022304526 A AU2022304526 A AU 2022304526A AU 2022304526 B2 AU2022304526 B2 AU 2022304526B2
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Yung-Chin Hsu
Wen-Yih Tseng
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Acroviz USA Inc
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    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
    • G—PHYSICS
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
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    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G06T2207/10092—Diffusion tensor magnetic resonance imaging [DTI]
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
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AU2022304526A 2021-06-29 2022-03-25 Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof Active AU2022304526B2 (en)

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Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021222029A1 (en) * 2020-04-30 2021-11-04 The Board Of Regents Of The University Of Texas System Methods and systems for analyzing a central nervous system based on brainstem structural characteristics
AU2023257288A1 (en) * 2022-04-22 2024-08-22 NeuroGeneces Inc. Sensing system with features for determining physiological metrics of a subject and for predicting electrophysiological events of a subject
CN117788897B (zh) * 2023-12-20 2024-07-12 首都医科大学附属北京友谊医院 大脑年龄预测方法、装置、设备及存储介质
WO2025188294A1 (en) * 2024-03-05 2025-09-12 National Yang Ming Chiao Tung University Method of brain age prediction for bipolar disorder patients using multimodal mri and machine learning
WO2025191273A1 (en) * 2024-03-14 2025-09-18 Oxcitas Ltd Method for processing images of a brain
WO2025207770A1 (en) * 2024-03-26 2025-10-02 Linus Health, Inc. Machine-learning enabled clinical decision support system for cognitive and movement disorders
CN118749944B (zh) * 2024-06-26 2026-02-10 首都医科大学附属北京友谊医院 认知状态检测方法、模型训练方法、装置、设备和介质
CN118691906B (zh) * 2024-07-18 2025-09-26 首都医科大学附属北京友谊医院 认知状态分类方法、装置、设备和存储介质
CN119379626A (zh) * 2024-10-11 2025-01-28 西安交通大学 一种脑龄预测方法、装置、设备及存储介质
CN119601247B (zh) * 2024-11-14 2026-01-02 中国人民解放军空军军医大学 一种2型糖尿病认知功能减退预测系统及方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050283054A1 (en) * 2004-06-18 2005-12-22 Banner Health Evaluation of a treatment to decrease the risk of a progressive brain disorder or to slow brain aging

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6581048B1 (en) * 1996-06-04 2003-06-17 Paul J. Werbos 3-brain architecture for an intelligent decision and control system
US8626264B1 (en) * 2008-04-09 2014-01-07 James T. Beran Obtaining information about brain activity
US20100249573A1 (en) * 2009-03-30 2010-09-30 Marks Donald H Brain function decoding process and system
US8742754B2 (en) * 2010-02-16 2014-06-03 Board Of Regents Of The University Of Texas System Method and system for diffusion tensor imaging
US20110301431A1 (en) * 2010-06-05 2011-12-08 The Board Of Trustees Of The Leland Stanford Junior University Methods of classifying cognitive states and traits and applications thereof
US9940712B2 (en) * 2014-04-25 2018-04-10 The Regents Of The University Of California Quantitating disease progression from the MRI images of multiple sclerosis patients
WO2017190029A1 (en) * 2016-04-29 2017-11-02 Washington University System and method for multi-modality quantification of neuroinflammation in central nervous system diseases
WO2018106713A1 (en) * 2016-12-06 2018-06-14 Darmiyan, Inc. Methods and systems for identifying brain disorders
WO2019070745A1 (en) * 2017-10-02 2019-04-11 Blackthorn Therapeutics, Inc. METHODS AND SYSTEMS FOR COMPUTER-GENERATED PREDICTIVE APPLICATION OF NEURO-IMAGING MAPPING DATA AND GENE EXPRESSION
US10365340B1 (en) * 2018-03-01 2019-07-30 Siemens Medical Solutions Usa, Inc. Monitoring dynamics of patient brain state during neurosurgical procedures
US12232843B2 (en) * 2018-03-07 2025-02-25 Institut National De La Sante Et De La Recherche Medicale (Inserm) Method for early prediction of neurodegenerative decline
CN112292691B (zh) * 2018-06-18 2024-06-04 谷歌有限责任公司 用于使用深度学习提高癌症检测的方法与系统
CN109147941A (zh) * 2018-10-17 2019-01-04 上海交通大学 基于结构磁共振影像数据的大脑健壮性评估方法
CN110689536B (zh) * 2019-09-30 2023-07-18 深圳大学 基于多模态磁共振影像的大脑灰质及白质追踪方法及装置
CN111631715B (zh) * 2020-07-08 2023-03-14 上海海事大学 一种阿尔茨海默症早期认知功能下降预测方法
US12354256B2 (en) * 2020-10-19 2025-07-08 Northwestern University Brain feature prediction using geometric deep learning on graph representations of medical image data
CN112674720B (zh) * 2020-12-24 2022-03-22 四川大学 基于3d卷积神经网络的阿尔茨海默症的预判断方法
US11263749B1 (en) * 2021-06-04 2022-03-01 In-Med Prognostics Inc. Predictive prognosis based on multimodal analysis

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050283054A1 (en) * 2004-06-18 2005-12-22 Banner Health Evaluation of a treatment to decrease the risk of a progressive brain disorder or to slow brain aging

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
BASHEER SHAKILA; BHATIA SURBHI; SAKRI SAPIAH BINTI: "Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset", IEEE ACCESS, IEEE, USA, vol. 9, 17 March 2021 p. 42449 - 42462. *

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US20230000424A1 (en) 2023-01-05
CN120732391A (zh) 2025-10-03
CN118175954B (zh) 2025-06-03
CN118175954A (zh) 2024-06-11
WO2023277980A9 (en) 2023-08-17
US11589800B2 (en) 2023-02-28
US20230086483A1 (en) 2023-03-23
AU2022304526A1 (en) 2023-12-07
US11751798B2 (en) 2023-09-12
JP2024524497A (ja) 2024-07-05
EP4362778A4 (en) 2025-01-08
WO2023277980A1 (en) 2023-01-05
EP4362778A1 (en) 2024-05-08
KR102873399B1 (ko) 2025-10-17
KR20240027714A (ko) 2024-03-04

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