肝癌诊疗中的深度学习:综述与展望

Deep Learning in the Diagnosis and Treatment of Liver Cancer: Review and Pro-spects

近些年来,肝癌的高发病率与高致死率让其成为世界范围内排名前列的肿瘤,严重危害人民的生命与健康。肝癌患者日益增多的临床数据对于临床医生的分析与决策来说更是困难。在此背景下,一种不限于医学范畴的先进技术对临床数据的综合分析与预测具有急迫性与重要性。随着国家逐步对计算机技术与临床医学交叉领域的重视,使得计算机技术和人工智能(Artificial Intelligence, AI)技术在医学各个领域快速发展。而深度学习(Deep Learning, DL)技术就是AI技术的分支,因其具有强大的图像分析、数据整合与决策预测功能,在肝癌的各个方面发挥了举足轻重的作用。因此,本文旨在通过当前DL技术在肝癌诊疗领域的发展现状进行系统把握,探讨DL技术对肝癌的诊疗价值。

In recent years, the high incidence rate and high mortality of liver cancer make it become the top tumor in the world, which seriously endangers people’s life and health. Moreover, the increasing clinical data of liver cancer patients is even more difficult for clinical doctors to analyze and make decisions. In this context, a technology that is not limited to clinical medicine is urgent and im-portant for the comprehensive analysis and prediction of a large amount of clinical patient data. The country has gradually attached importance to the intersection of computer technology and clinical medicine, which has led to the rapid development of computer technology and artificial intelligence (AI) technology in various fields of medicine. Deep Learning (DL) technology is a branch of AI tech-nology, which plays a crucial role in the diagnosis, treatment, prognosis, and other aspects of liver cancer due to its powerful image analysis, data integration, and decision prediction functions. Therefore, this article aims to systematically grasp the current development status of DL technology in the field of liver cancer diagnosis and treatment, and explore the predictive value of DL technol-ogy in the diagnosis and treatment of liver cancer.