人工智能在原发性肝癌诊断与治疗中的应用和展望
Application and prospect of artificial intelligence in the diagnosis and treatment of primary liver cancer
尹大龙 1施舒鹏2
作者信息
- 1. 中国科学技术大学附属第一医院(安徽省立医院)先导医学与前沿技术研究所,肝胆外科、肝胆胰外科安徽省重点实验室,合肥 230001
- 2. 中国科学技术大学附属第一医院(安徽省立医院)肝胆胰外科安徽省重点实验室、整形外科,合肥 230001
- 折叠
摘要
原发性肝癌(以下简称肝癌)是常见且致命的恶性肿瘤之一,严重危害人类生命健康.近年来,人工智能在肝癌领域研究取得突破进展,应用于肝癌研究各阶段,以期全面改善肝癌的临床诊断与治疗.肝癌中的人工智能技术主要包括机器学习和深度学习模型,后者是前者的1个分支并基于神经网络结构.当前,基于机器学习和深度学习模型的应用在肝癌中已展示出巨大潜力,但仍有许多问题亟待解决,包括提高结果的泛用性和可解释性等.笔者系统阐述近年来人工智能在肝癌领域的应用进展,并对目前面临的挑战及未来探索的方向进行深入探讨.
Abstract
Primary liver cancer(hereinafter referred to as liver cancer)is one of the most common and deadly malignancies,posing a serious threat to human health.In recent years,advance-ments in artificial intelligence(AI)have opened up possibilities for the comprehensive enhancement of liver cancer diagnosis and treatment.Al technologies in liver cancer mainly include the machine learning(ML)and the deep learning(DL)models,with DL being a subtype of ML based on neural network structures.The application of ML and DL models in liver cancer has demonstrated tremen-dous potential,but there are still many issues that need to be addressed,including enhancing the generalizability and interpretability of results.The authors elaborate on the application progress of AI in the field of liver cancer in recent years,and explore the current challenges and future explora-tion directions.
关键词
肝肿瘤/人工智能/深度学习/机器学习/应用和展望Key words
Liver neoplasms/Artificial intelligence/Deep learning/Machine learning/Application and prospect引用本文复制引用
基金项目
国家卫生健康委医院管理研究所重点项目(YLZLXZ22K004)
科大新医学联合基金(YD9100002035)
出版年
2024
NETL
NSTL
万方数据