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AI DEVELOPMENT SUPPORT SYSTEM FOR MEDICAL AI MODEL

机译:医疗AI模型的AI开发支持系统

摘要

The present invention relates to a medical AI model development support system, and a development support server having a medical AI model development platform that supports the creation of a medical AI model, and the medical AI model development platform by accessing the development support server through a communication network. a developer terminal for producing the medical AI model through; The medical AI model development platform includes: a data storage unit storing medical learning data to be used for learning; a model learning unit configured to generate the medical AI model by learning the medical learning data stored in the data storage unit as a learning model; A learning result generating unit for generating a learning result value from the medical AI model generated by the model learning unit, and a platform control unit for transmitting the learning result value generated by the learning result generating unit to the developer terminal through the communication network includes; The learning result value is characterized in that it includes parameter information of the medical AI model generated by the model learning unit. Accordingly, medical images are collected at institutions that are legally recognized for the collection of medical images, and AI models are developed only within the platform provided by the relevant public institutions. In this blocked state, by developing an AI model using various and large amounts of medical images, it is possible to effectively utilize the medical images and to develop an AI model with high reading accuracy.
机译:医疗AI模型开发支持系统技术领域本发明涉及医疗AI模型开发支持系统,以及具有医疗AI模型开发平台的发育支持服务器,其支持通过访问开发支持服务器来创建医疗AI模型和医疗AI模型开发平台通信网络。通过生产医疗AI模型的开发人员终端;医疗AI模型开发平台包括:数据存储单元,存储用于学习的医疗学习数据;模型学习单元,其配置为通过学习存储在数据存储单元中的医学学习数据作为学习模型来生成医疗AI模型;用于从模型学习单元生成的医疗AI模型生成学习结果的学习结果生成单元,以及用于通过通信网络将由学习结果生成单元生成的学习结果值发送到开发人员终端的平台控制单元包括;学习结果值的特征在于它包括由模型学习单元生成的医疗AI模型的参数信息。因此,在合法认识到用于收集医学图像的机构中收集医学图像,并且仅在相关公共机构提供的平台内开发了AI模型。在这种阻塞状态下,通过使用各种和大量的医学图像开发AI模型,可以有效地利用医学图像并开发具有高读取精度的AI模型。

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