Medical artificial intelligence model training system and method based on block chain

Abstract

The invention relates to a medical artificial intelligence model training system based on a block chain. The medical artificial intelligence model training system comprises a model distribution module, a parameter collection module, a model training module, a model synchronization module, a block chain infrastructure, a medical artificial intelligence model library, a user information library, a model updating process library and a model publishing module. According to the system, the data islands of the medical institutions can be broken through, and the risk of private data leakage of the medical institutions is reduced. Only the model and parameters are transmitted in the system and thus the artificial intelligence model can carry out learning under more data samples under the conditionof private data protection, and the accuracy and generalization ability of the model are improved. In addition, the model training updating process in the system is traceable, so that the safety, credibility and controllability of the model are realized.

Description

technical field [0001] The present invention relates to the field of artificial intelligence model training, in particular to a blockchain-based medical artificial intelligence model training system and method. Background technique [0002] Blockchain uses block chain data structure to verify and store data, uses distributed node consensus algorithm to generate and update data, uses cryptography to ensure the security of data transmission and access, and uses smart contracts composed of automated script codes A new distributed infrastructure and computing paradigm for programming and manipulating data. Decentralized blockchain technology can provide users with multi-point transactions that do not require third-party trust, and can protect user privacy at a higher level. The trust system is an important part of the blockchain network, which allows users to safely put digital assets on the chain, and the immutable blockchain features further stabilize the trust system. [00...

AI Technical Summary

Problems solved by technology

First of all, medical data is private and sensitive, and these data are often stored closed in the information systems of various hospitals, which is inconvenient to share, so each hospital has formed a "data island"; secondly, the labeling of many medical data requires With strong professional knowledge, the cost of labeling is often higher than that of ordinary data; third, the medical field also has higher requirements for the accuracy of the model, because the cost of missed detection and false detection is huge, how to make AI model assist Doctors conduct diagnosis and treatment, and realize the real application of medical artificial intelligence models is a problem worthy of in-depth study

[0006] In recent years, academia and industry at home and abroad have paid great attention to blockchain, but there are few studies on applying blockchain to medical artificial intelligence model training, especially how to use blockchain technology to break through data islands. On the basis of private data protection, the model can learn more data samples, improve the accuracy and generalization ability of the model, and make the model safer, more credible, and more controllable

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