基于人工智能的肝脏疾病放射组学：我们目前的进展如何？
Radiomics based on artificial intelligence in liver diseases: where we are?
作者信息
Hu Wenmo, Yang Huayu, Xu Haifeng, Mao Yilei
机构信息
Department of Liver Surgery, Peking Union Medical College Hospital, PUMC, Chinese Academy of Medical Sciences, Beijing, P. R. China.
出版信息
Gastroenterol Rep (Oxf). 2020 Apr 7;8(2):90-97. doi: 10.1093/gastro/goaa011. eCollection 2020 Apr.
Abstract
Radiomics uses computers to extract a large amount of information from different types of images, form various quantifiable features, and select relevant features using artificial-intelligence algorithms to build models, in order to predict the outcomes of clinical problems (such as diagnosis, treatment, prognosis, etc.). The study of liver diseases by radiomics will contribute to early diagnosis and treatment of liver diseases and improve survival and cure rates of liver diseases. This field is currently in the ascendant and may have great development in the future. Therefore, we summarize the progress of current research in this article and then point out the related deficiencies and the direction of future research.
摘要
放射组学利用计算机从不同类型的图像中提取大量信息，形成各种可量化特征，并使用人工智能算法选择相关特征来构建模型，以预测临床问题的结果（如诊断、治疗、预后等）。通过放射组学对肝脏疾病进行研究将有助于肝脏疾病的早期诊断和治疗，并提高肝脏疾病的生存率和治愈率。该领域目前正方兴未艾，未来可能会有很大的发展。因此，我们在本文中总结了当前研究的进展，然后指出相关不足以及未来的研究方向。
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