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Artificial intelligence system and method based on child radiation image quality control

A technology of image quality and artificial intelligence, applied in the directions of mechanical/radiation/invasive treatment, medical automated diagnosis, semantic analysis, etc., can solve the problems that the quality control efficiency and comprehensive quality control of manual identification method cannot meet the current needs, and achieve The effect of reducing pediatric radiation dose, reducing invalid exposure area, and avoiding radiation safety problems

Pending Publication Date: 2021-08-10
辽宁万象联合医疗科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] The present invention provides an artificial intelligence system and method based on the quality control of children's radiographic images to solve the problem that the existing manual identification method cannot meet the current needs in terms of quality control efficiency and quality control comprehensiveness.

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  • Artificial intelligence system and method based on child radiation image quality control
  • Artificial intelligence system and method based on child radiation image quality control
  • Artificial intelligence system and method based on child radiation image quality control

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Embodiment Construction

[0052]The embodiment of the present application provides an artificial intelligence system and method based on quality control of children's radiographic images. The system and method mainly obtain quality control grade results. Among them, the quality control in the preparatory period of the inspection can effectively avoid the risks caused by the mismatch of inspection information and inspection stress reaction. In addition to the quality control of the routine complete and clear inspection of the target organs, the quality control of radiographic images can also give prompts to medical images whose radiation dose or radiation area does not meet the quality control standards. In addition to routine patient information checks, the diagnostic report quality control can also perform quality control on the matching detection of images and diagnostic reports, and the matching detection of image spatial information and diagnostic reports. Therefore, the purpose of comprehensive q...

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Abstract

The invention provides an artificial intelligence system and method based on child radiation image quality control. In the system and the method, the MEDM model can effectively solve the problems of low working efficiency of manual quality control, large number gap of related physicians, difficulty in reuse of the physician technology and the like, realizes automatic quality control of the child medical image, enables the child medical image to meet the quality control standard, facilitates reduction of an invalid exposure area and reduces the pediatric radiation dose; therefore, a radiation safety problem is avoided, and more detailed quality control detection is carried out on a diagnosis report. The artificial intelligence system and method provided by the invention are reliable, accurate, efficient, reusable and stable.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence system and method based on quality control of children's radiographic images. Background technique [0002] At present, many diseases in various clinical departments of modern hospitals must be checked by radiology equipment to achieve the purpose of definite diagnosis and auxiliary diagnosis, such as X-ray filming machine, computer X-ray photography system and direct digital X-ray photography system. Similarly, more and more medical institutions use X-ray equipment in various diagnosis and treatment services of pediatrics. Therefore, a large number of children's medical images need to be collected, read and generated diagnostic reports every day. [0003] In order to ensure the quality of disease diagnosis and treatment, reduce invalid exposure areas, reduce radiation dose, and avoid radiation safety problems caused by repeated inspecti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00G16H20/40G16H50/20G06F40/242G06F40/289G06F40/30
CPCG16H15/00G16H20/40G16H50/20G06F40/242G06F40/289G06F40/30Y02A90/10
Inventor 王静石侯阳刘景鑫齐晓宇
Owner 辽宁万象联合医疗科技有限公司
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