CN116194999A - 在成像点处的用于将ai算法的训练集成到临床工作流程中的设备 - Google Patents

在成像点处的用于将ai算法的训练集成到临床工作流程中的设备 Download PDF

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Publication number
CN116194999A
CN116194999A CN202180065603.8A CN202180065603A CN116194999A CN 116194999 A CN116194999 A CN 116194999A CN 202180065603 A CN202180065603 A CN 202180065603A CN 116194999 A CN116194999 A CN 116194999A
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imaging
training
patient
image
data
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CN202180065603.8A
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Chinese (zh)
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A·布劳恩阿格尔
K·林特
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Koninklijke Philips NV
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Koninklijke Philips NV
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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
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • 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
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • 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
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • 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
    • G06T2207/30168—Image quality inspection

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
CN202180065603.8A 2020-09-24 2021-09-16 在成像点处的用于将ai算法的训练集成到临床工作流程中的设备 Pending CN116194999A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP20197985.3A EP3975194A1 (en) 2020-09-24 2020-09-24 Device at the point of imaging for integrating training of ai algorithms into the clinical workflow
EP20197985.3 2020-09-24
PCT/EP2021/075484 WO2022063675A1 (en) 2020-09-24 2021-09-16 Device at the point of imaging for integrating training of ai algorithms into the clinical workflow

Publications (1)

Publication Number Publication Date
CN116194999A true CN116194999A (zh) 2023-05-30

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CN202180065603.8A Pending CN116194999A (zh) 2020-09-24 2021-09-16 在成像点处的用于将ai算法的训练集成到临床工作流程中的设备

Country Status (5)

Country Link
US (1) US20230368895A1 (https=)
EP (2) EP3975194A1 (https=)
JP (1) JP2023543191A (https=)
CN (1) CN116194999A (https=)
WO (1) WO2022063675A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12346529B2 (en) 2023-06-26 2025-07-01 International Business Machines Corporation UI workflow optimization based on expected next UI interaction

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160350919A1 (en) * 2015-06-01 2016-12-01 Virtual Radiologic Corporation Medical evaluation machine learning workflows and processes
US20190180860A1 (en) * 2017-12-08 2019-06-13 International Business Machines Corporation Medical imaging device- and display-invariant segmentation and measurement
CN110223289A (zh) * 2019-06-17 2019-09-10 上海联影医疗科技有限公司 一种图像处理方法和系统
CN110993063A (zh) * 2018-10-02 2020-04-10 西门子医疗有限公司 用于便于由放射科医师和人工智能算法进行联合解释的扫描仪处的医学图像预处理

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10679745B2 (en) * 2014-07-10 2020-06-09 Koninklijke Philips N.V. System and method for providing a patient with personalized advice
WO2017151757A1 (en) * 2016-03-01 2017-09-08 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Recurrent neural feedback model for automated image annotation
US10799189B2 (en) * 2017-11-22 2020-10-13 General Electric Company Systems and methods to deliver point of care alerts for radiological findings
US11301996B2 (en) * 2018-12-11 2022-04-12 Eko.Ai Pte. Ltd. Training neural networks of an automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160350919A1 (en) * 2015-06-01 2016-12-01 Virtual Radiologic Corporation Medical evaluation machine learning workflows and processes
US20190180860A1 (en) * 2017-12-08 2019-06-13 International Business Machines Corporation Medical imaging device- and display-invariant segmentation and measurement
CN110993063A (zh) * 2018-10-02 2020-04-10 西门子医疗有限公司 用于便于由放射科医师和人工智能算法进行联合解释的扫描仪处的医学图像预处理
CN110223289A (zh) * 2019-06-17 2019-09-10 上海联影医疗科技有限公司 一种图像处理方法和系统

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Publication number Publication date
EP4218024A1 (en) 2023-08-02
JP2023543191A (ja) 2023-10-13
EP3975194A1 (en) 2022-03-30
WO2022063675A1 (en) 2022-03-31
US20230368895A1 (en) 2023-11-16

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