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ARTIFICIAL INTELLIGENCE FOR PERSONALIZED ONCOLOGY

机译:个性化肿瘤学人工智能

摘要

Techniques performed by a data processing system for operating a personalized oncology system herein include accessing a first histopathological image of a histopathological slide of a sample taken from a first patient; analyzing the first histopathological image using a first machine learning model configured to extract first features from the first histopathological image; searching a histological database that includes a plurality of second histopathological images and corresponding clinical data for a plurality of second patients to generate search results; analyzing the plurality of third histopathological images and the corresponding clinical data associated with the plurality of third histopathological images using statistical analysis techniques to generate associated statistics and metrics associated with mortality, morbidity, time-to-event, or a combination thereof for the plurality of third patients associated with the third histopathological images; and presenting an interactive visual representation of the associated statistics and metrics including information for the personalized therapeutic plan for treating the first patient.
机译:用于操作本文的个性化肿瘤学系统的数据处理系统执行的技术包括访问从第一患者采取的样品的组织病理学载玻片的第一组织病理学图像;使用配置成从第一组织病理学图像提取第一特征的第一机器学习模型分析第一组织病理学图像;在组织学数据库中搜索包括多个第二组织病理学图像和多个患者的相应临床数据以产生搜索结果;使用统计分析技术分析多个第三组织病理学图像和与多个第三组织病理学图像相关联的相应临床数据,以产生与多个死亡率,发病率,时间发生的相关的相关统计和度量,或其组合相关第三名患者与第三组织病理学图像相关联;并呈现相关统计和指标的交互式视觉表现,包括用于治疗第一患者的个性化治疗计划的信息。

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