人工智能在胰腺癌全程化管理中的应用及展望
Application and prospect of artificial intelligence in the whole-process management of pancreatic cancer
梁谭 1陈子祥 1陈江明 1耿小平 1刘付宝1
作者信息
- 1. 安徽医科大学第一附属医院普通外科,合肥 230022
- 折叠
摘要
胰腺癌恶性程度高、生存率低,早期诊断、早期治疗及早期复发干预是改善其总体预后的关键.随着人工智能的飞速发展,将其运用于胰腺癌的全程化管理、实现胰腺癌的精准医疗是大势所趋.人工智能通过与临床数据、医学图像以及分子生物学结合,在胰腺癌的全程化管理中展现出广阔的应用前景.笔者就人工智能在胰腺癌诊断与治疗中的应用现状和问题进行简要综述,并讨论其未来的发展方向.
Abstract
Pancreatic cancer is a highly malignant cancer with low survival rate.Early diagnosis,early treatment and early recurrence intervention are the most important keys to improve overall prognosis of pancreatic cancer.With the rapid development of artificial intelligence,it is an inevitable trend to apply it to the diagnosis and treatment of pancreatic cancer to achieve precision medicine for patients.By combining with clinical data,medical images and molecular biology,artifi-cial intelligence has shown broad application prospects in the whole-process management of pancreatic cancer.The authors briefly review the application status and problems of artificial intelligence in the diagnosis and treatment of pancreatic cancer,and discuss its future development direction.
关键词
胰腺肿瘤/人工智能/机器学习/深度学习/医学图像/早期诊断/手术/预后Key words
Pancreatic neoplasms/Artificial intelligence/Machine learning/Deep lear-ning/Medical image/Early diagnosis/Surgery/Prognosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据