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Real world research method based on medical data and artificial intelligence

A medical data and artificial intelligence technology, applied in the real-world research field based on medical data and artificial intelligence, can solve the problem of too much error in medical data simulation conclusions, and achieve the effect of increasing the amount of medical data, improving the operation mode, and strengthening the accuracy effect.

Pending Publication Date: 2021-02-09
北京清智颢云信息科技股份有限公司
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Problems solved by technology

[0004] In order to solve the above problems, the present invention provides a real-world development method based on medical data and artificial intelligence, which effectively avoids the derivation of the pooling layer unit calculated by the medical data receiving method in the artificial intelligence in the prior art. The defect that the error between the medical data and the real simulation conclusion is too high

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  • Real world research method based on medical data and artificial intelligence

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Such as figure 1 As shown, real-world research methods based on medical data and artificial intelligence include:

[0044] A-1: With the medical data based on the pooling layer unit calculated by the current pooling layer unit, the path data corresponding to the medical data based on the pooling layer unit is obtained, and the path data includes the pooling-based The medical data of the layer unit is transferred to the medical data of all path pooling layer units passed by the target pooling layer unit through the current pooling layer unit, and the associated medical data between each of the path pooling layer units.

[0045] The path data, including the constant path association between the pooling layer units after the service setting of the pooling layer unit level, is also within a service. Currently, the pooling layer units can obtain diff...

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Abstract

The invention discloses a real world research method based on medical data and artificial intelligence, and the method comprises the steps: obtaining path data corresponding to pooling layer unit-based medical data through the pooling layer unit-based medical data calculated by a current pooling layer unit, wherein the path data include medical data of all path pooling layer units passed by the pooling layer units transmitted to a target pooling layer unit through the current pooling layer unit, and associated medical data between the path pooling layer units. In combination with other structures, the defect in the prior art that the error between the medical data exported by the pooling layer unit calculated by the pooling layer medical data receiving mode in artificial intelligence and areal simulation conclusion is too high is effectively avoided.

Description

technical field [0001] The invention belongs to the technical field of medical data AI, and in particular relates to a real-world research method based on medical data and artificial intelligence. Background technique [0002] The general artificial intelligence development for medical data is generally achieved by running program modules on a single core and attaching a high-level FPGA architecture. The power consumption, cost, and medical data processing efficiency of electronic components during the entire period are not good; therefore, In recent years, artificial intelligence computing has been highly efficient, that is, using electronic components to directly form artificial intelligence to simulate the performance of the head. It is necessary to achieve overall synchronization, low power consumption, and a computing system that can support complex architecture convolution performance. Artificial intelligence processing conclusions to achieve better simulation. [000...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/50
CPCG16H50/50
Inventor 卜晓军
Owner 北京清智颢云信息科技股份有限公司
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