JP2024524497A - 予測年齢差を使用する付随する臨床的認知症尺度とその将来の転帰とを評価する方法およびそのプログラム - Google Patents
予測年齢差を使用する付随する臨床的認知症尺度とその将来の転帰とを評価する方法およびそのプログラム Download PDFInfo
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- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
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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
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A—HUMAN NECESSITIES
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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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- 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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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- A—HUMAN NECESSITIES
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- 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
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- G—PHYSICS
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- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- G06T2207/10088—Magnetic resonance imaging [MRI]
- G06T2207/10092—Diffusion tensor magnetic resonance imaging [DTI]
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- G—PHYSICS
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- G—PHYSICS
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202163216028P | 2021-06-29 | 2021-06-29 | |
| US63/216,028 | 2021-06-29 | ||
| PCT/US2022/021873 WO2023277980A1 (en) | 2021-06-29 | 2022-03-25 | Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2024524497A true JP2024524497A (ja) | 2024-07-05 |
| JP2024524497A5 JP2024524497A5 (https=) | 2025-04-01 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023581059A Pending JP2024524497A (ja) | 2021-06-29 | 2022-03-25 | 予測年齢差を使用する付随する臨床的認知症尺度とその将来の転帰とを評価する方法およびそのプログラム |
Country Status (8)
| Country | Link |
|---|---|
| US (2) | US11589800B2 (https=) |
| EP (1) | EP4362778A4 (https=) |
| JP (1) | JP2024524497A (https=) |
| KR (1) | KR102873399B1 (https=) |
| CN (2) | CN120732391A (https=) |
| AU (1) | AU2022304526B2 (https=) |
| CA (1) | CA3221182A1 (https=) |
| WO (1) | WO2023277980A1 (https=) |
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| 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 |
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| WO2019245597A1 (en) * | 2018-06-18 | 2019-12-26 | Google Llc | Method and system for improving cancer detection using deep learning |
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| US6581048B1 (en) * | 1996-06-04 | 2003-06-17 | Paul J. Werbos | 3-brain architecture for an intelligent decision and control system |
| CA2570539A1 (en) * | 2004-06-18 | 2006-01-26 | Banner Health | Evaluation of a treatment to decrease the risk of a progressive brain disorder or to slow brain aging |
| 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 |
| 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 |
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2022
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019245597A1 (en) * | 2018-06-18 | 2019-12-26 | Google Llc | Method and system for improving cancer detection using deep learning |
Non-Patent Citations (1)
| Title |
|---|
| SABUNCU, M. R., KONUKOGLU, E.: ""Clinical prediction from structural brain MRI scans: A large-scale empirical study"", NEUROINFORMATICS, vol. 13(1), JPN7025005709, January 2015 (2015-01-01), pages 31 - 46, ISSN: 0005770637 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3221182A1 (en) | 2023-01-05 |
| 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 |
| EP4362778A4 (en) | 2025-01-08 |
| WO2023277980A1 (en) | 2023-01-05 |
| EP4362778A1 (en) | 2024-05-08 |
| KR102873399B1 (ko) | 2025-10-17 |
| AU2022304526B2 (en) | 2025-04-17 |
| KR20240027714A (ko) | 2024-03-04 |
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