人工智能在多种肝脏和胰腺疾病诊断中的作用

Application of artificial intelligence in various liver and pancreas diseases

利用人工智能提取出临床血液学数据、影像学图片等大量信息,形成各种可量化的特征,进而分析不同特征与所关心问题(如诊断)的关系,从而解决复杂的医学问题。主要从胰腺癌、肝纤维化及食管静脉曲张入手,阐述并分析了各种人工智能算法分别对上述疾病的诊断效能,以供临床医生更清楚地认识和决策。

A large amount of information,such as clinical hematological data and imaging images,can be extracted by artificial intelligence to form various quantifiable features,analyze the association between different features and problems concerned(such as diagnosis),and thus solve complex medical problems.This article elaborates on the efficiency of various artificial intelligence algorithms in the diagnosis of pancreatic cancer,hepatic fibrosis,and esophageal varices,so as to help clinicians with clearer understanding and better decision-making.