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作 者:陈艳红[1] 陈敦金[1] CHEN Yan-hong;CHEN Dun-jin(Department of Obstetrics,the Third Affiliated Hospital,Guangzhou Medical University,Guangzhou 510150,China)
机构地区:[1]广州医科大学附属第三医院妇产科,广东广州510150
出 处:《中国实用妇科与产科杂志》2024年第10期964-968,共5页Chinese Journal of Practical Gynecology and Obstetrics
基 金:国家重点研发计划(2022YFC2704500)。
摘 要:近年来,随着数字化、信息化程度的不断提高,以及机器学习、数据挖掘等技术的兴起,使得人工智能迅速进入各行业。已有研究者将人工智能引入医学领域,逐渐成为整合和分析医疗保健大数据的工具,以辅助医务工作者提升医疗服务质量与效率。目前,在产科领域,人工智能展现出巨大的潜力和价值,如在母胎监测、疾病预测预警和预后评估,以及诊疗决策等方面起着重要的辅助作用,助力产科服务,保障母儿健康。In recent years,with the increasing degree of digitization and informatization,as well as the emergence of machine learning,data mining and other technologies,artificial intelligence has rapidly entered into various industries.Researchers have integrated AI into the medical field,where it has progressively evolved into a tool for aggregating and analyzing medical big data to aid medical professionals in enhancing the quality and efficiency of medical services.Currently,within the obstetrics field,AI demonstrates significant potential and value in the obstetric field,and in areas such as maternal and fetal monitoring,disease prediction and early warning systems,prognosis assessment,as well as diagnostic and therapeutic decisionmaking,it plays a crucial auxiliary role,which enhances obstetric services and safeguards the health of mothers and infants.
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