人工智能在介入医学中的应用：现状与展望

被引：4

作者：

陈一平

林清锋

陈仲武

陈健

林瑞祥

机构：

[1] 福建医科大学附属第一医院

来源：

海峡科学 | 2022年 / 05期

关键词：

人工智能; 介入; 机器学习; 深度学习; 智能医疗;

D O I：

暂无

中图分类号：

R815 [放射疗法]; TP18 [人工智能理论];

学科分类号：

100106 [放射医学]; 140502 [人工智能];

摘要：

人工智能是信息学的分支，包含了自动数据收集、处理、分析等过程。当前，人工智能与医学各专业结合越来越紧密，特别是医学影像方面，还诞生了影像组学。在介入医学方面，人工智能主要在患者筛查与治疗方案制定、风险预测和疗效评估、虚拟手术室等应用场景中发挥重要作用，它能帮助介入医师提高工作效率、手术安全性以及提供患者个体化治疗需要。未来还可以利用人工智能的自然语言处理，广泛收集病历资料，构建大数据，深化人工智能与影像组学的融合，提高疾病特别是肿瘤诊断和预测的准确性，并依托人工智能的高效率来优化手术室管理。

引用

页码：89 / 92

页数：4

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