人工智能在甲状腺及甲状旁腺疾病外科诊疗中的研究进展
Artificial intelligence in diagnosis and treatment of thyroid and parathyroid diseases:a surgical perspective
花苏榕 1郑淮今 1廖泉1
作者信息
- 1. 中国医学科学院北京协和医学院 北京协和医院基本外科,北京 100730
- 折叠
摘要
近年来人工智能技术正在赋能各个行业,引领产业升级.人工智能在医学影像分析及外科手术导航定位等方面的进步,正在为整个医学界带来革命性的变化,并正在逐渐渗透进入甲状腺及甲状旁腺疾病的诊疗领域.本文着眼于人工智能在甲状腺及甲状旁腺疾病外科诊疗中的应用,着重阐述基于深度学习的人工智能系统在术前评估、术中辅助决策和预测手术预后等方面的研究和应用进展,并探讨未来的发展前景.
Abstract
In recent years,artificial intelligence technology has been empowering various industries and leading industrial upgrading.The progress of artificial intelligence in medical image analysis and surgical navigation positioning is revolutionizing the entire medical field and gradually penetrating into the diagnosis and treatment of thyroid and parathyroid diseases.This article focuses on the application of artificial intelligence in the surgical diagnosis and treatment of thyroid and parathyroid diseases,emphasizing the research and application progress of deep learning based artificial intelligence systems in preoperative evaluation,intraoperative decision-making assistance,and postoperative prognosis prediction,and exploring future development prospects.
关键词
甲状腺/甲状旁腺/人工智能Key words
Thyroid/Parathyroid/Artificial intelligence引用本文复制引用
基金项目
中央高水平医院临床科研业务费(2022-PUMCH-B-003)
出版年
2024
NETL
NSTL
维普
万方数据