人工智能及机器学习深度算法在产科母胎疾病中的应用
Application of artificial intelligence and ma-chine learning deep algorithms in obstetric ma-ternal and fetal diseases
温慧莹 1李笑天1
作者信息
- 1. 深圳市妇幼保健院 深圳市孕产疾病与母婴健康重点实验室,广东深圳 518000
- 折叠
摘要
人工智能(artificial intelligence,AI)是机器对人的思维方式的模拟,其强大的算法、算力和大数据是AI发展的三大支撑力.近年,AI在产科母胎疾病研究领域快速发展,有效提升了各种医学任务的性能,为提高医疗技术水平与医疗服务效率、保障母儿安全提供了强大抓手.文章简要介绍了现有AI研究的数据偏倚问题,并探讨通用AI在产科母胎疾病的发展趋势,旨在促进AI+产科母胎医学领域的科技创新高质量发展.
Abstract
Artificial intelligence(AI)refers to the simulation of human thinking by machines.Powerful algorithms,computing power and big data are the three major supporting forces of the development of Al.In recent years,AI has developed rapidly in the field of obstetric maternal and fetal diseases,effectively im-proving the performance of various medical tasks,and providing an effectice means to improving medical technology and medical service efficiency and safe-guard the safety of mothers and infants.This article briefly introduces the data bias issues in existing AI research.Moreover,we discuss the development trend of general AI in obstetrics and maternal and fetal dis-eases,aiming to promote high-quality development of scientific and technological innovation in the field of AI+obstetric maternal and fetal medicine.
关键词
人工智能/母胎疾病/疾病预测Key words
artificial intelligence/maternal and fetal diseases/disease prediction引用本文复制引用
基金项目
国家自然科学基金(82371698)
深圳市孕产疾病与母婴健康重点实验室项目(ZDSYS20230626091559006)
出版年
2024
国家科技期刊平台
NSTL
万方数据