Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review
作者机构：UGC de Aparato DigestivoUnidad de Hepatologia-Trasplante HepaticoHospital Regional Universitario de MalagaMalaga 29010Spain
出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)
年 卷 期：2020年第26卷第37期
页 面：5617-5628页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Artificial intelligence Machine learning Hepatocellular carcinoma Diagnosis Treatment Prognosis
摘 要：Although artificial intelligence(AI)was initially developed many years ago,it has experienced spectacular advances over the last 10 years for application in the field of medicine,and is now used for diagnostic,therapeutic and prognostic purposes in almost all *** application in the area of hepatology is especially relevant for the study of hepatocellular carcinoma(HCC),as this is a very common tumor,with particular radiological characteristics that allow its diagnosis without the need for a histological ***,the interpretation and analysis of the resulting images is not always easy,in addition to which the images vary during the course of the disease,and prognosis and treatment response can be conditioned by multiple *** vast amount of data available lend themselves to study and analysis by AI in its various branches,such as deeplearning(DL)and machine learning(ML),which play a fundamental role in decision-making as well as overcoming the constraints involved in human *** is a form of AI based on automated learning from a set of previously provided data and training in algorithms to organize and recognize *** is a more extensive form of learning that attempts to simulate the working of the human brain,using a lot more data and more complex *** review specifies the type of AI used by the various ***,welldesigned prospective studies are needed in order to avoid as far as possible any bias that may later affect the interpretability of the images and thereby limit the acceptance and application of these models in clinical *** addition,professionals now need to understand the true usefulness of these techniques,as well as their associated strengths and limitations.
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