Artificial intelligence cloud diagnosis platform

An artificial intelligence and platform technology, applied in medical automated diagnosis, image enhancement, instruments, etc., can solve the problems of reducing the workload of testing personnel and not realizing data processing, etc.

Active Publication Date: 2020-10-16
WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this patent only stores the cases on the cloud, and retrieves the data from the cloud during screening. It does not realize the data processing on the cloud, and cannot actually reduce the workload of the inspectors.

Method used

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  • Artificial intelligence cloud diagnosis platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0132] Such as figure 1 As shown, the process of realizing the artificial intelligence cloud diagnosis platform is as follows:

[0133] S1. Number the samples of the subjects, determine the sample number in the cloud system, collect the samples of the subjects before the start of the process on the cloud, and re-number them after collecting a batch of samples uniformly, and determine the number of samples and subjects. Corresponding relationship of inspector information.

[0134] S2. Registration: enter the subject's information into the system, enter the sample number, scan: digitize the sample, register and scan at the same time, without interfering with each other, enter the subject's information into the system during registration, and enter the renumbered sample number

[0135] S3. Upload: upload the digital samples to the cloud system, which provides network-based data access services, and can store and call various unstructured data including text, pictures, audio and...

Embodiment 2

[0141] Such as figure 2 As shown, on the basis of Embodiment 1, when numbering in step S1, the sample number of the cloud system is generated according to the coding rules, for example, a specific prefix is ​​added before the collected sample data number to indicate the province where the sample is located. When the data sample is large, it can quickly classify the sample of the subject, and quickly extract the sample of the subject according to the prefix information. When the original number of the subject's sample is needed, the original number is obtained by reverse decoding, which facilitates the conversion between the cloud system sample number and the hospital system number, facilitates management, and avoids mistakes.

Embodiment 3

[0143] Such as image 3As shown, the digital samples are uploaded to the cloud system after the client encrypts the files. As a third-party cloud storage service product, the cloud system provides data security protection functions, but the data encryption is completed by the cloud storage service provider. It can prevent ordinary users from attacking, but it is still transparent to the internal personnel of the cloud service system. For medical information, especially information that may involve genetic resources such as cytology, once leaked, it will have a greater impact on the country and the people. To ensure the security of medical data in the cloud diagnosis process, in step S3, the digital sample is encrypted on the client side and then uploaded to the cloud system. The data key is the temporary key applied by the uploader to the system, which is a private key, encrypted The data sample does not affect the processing of the sample data by the AI ​​system on the cloud....

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Abstract

The invention provides an artificial intelligence cloud diagnosis platform, which scans the sample of the subject to the cloud, and the AI ​​on the cloud performs preliminary detection, and then the doctor conducts diagnosis and review. The artificial intelligence cloud diagnosis improves the accuracy of diagnosis and fundamentally solves the problem. It solves the problems of insufficient technical experts and uneven distribution of medical resources in remote areas, greatly improves the efficiency of diagnosis, reduces the cost of diagnosis, and establishes a professional database of the same type of test samples, which is conducive to further research on the disease in the later stage.

Description

technical field [0001] The invention relates to the field of artificial intelligence diagnosis, in particular to an artificial intelligence cloud diagnosis platform. Background technique [0002] my country has a vast territory, insufficient and uneven distribution of high-quality medical resources, and the incompatibility and mismatch between the medical service system and the needs of the people for medical treatment. Especially in rural areas, artificial cancer cell diagnosis cannot be carried out effectively due to the lack of technical experts. With the development of artificial intelligence and big data technology, the examinees only need to provide test samples and upload them to the cloud to realize remote cloud diagnosis and remote test reports, effectively solving the "difficulty in seeing a doctor" in remote areas and areas with insufficient medical resources Problem, the case information screening module in Chinese patent CN109410107 A "a cloud platform system for ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/40G16H50/20G06K9/62G06T7/00G06T7/136G06T7/155G06T7/33
CPCG16H10/40G16H50/20G06T7/0012G06T7/136G06T7/155G06T7/344G06T2207/20081G06T2207/10061G06T2207/30024G06F18/24G06T2207/10056G06T7/11G06T2207/10024G16H40/67G16H30/40G16H15/00
Inventor 孙小蓉庞宝川张飞龙
Owner WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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