摘要
人工智能(artificial intelligence,AI)是近年来社会各行业中广泛应用的新兴技术,给各行业的发展带来了新的广阔空间。其在医疗领域的慢性疾病管理中的应用呈现出潜在的价值。与传统的管理方法相比,AI技术所具有的深度数据分析将为如糖尿病和高血压等慢性疾病的管理提供更加个性化和实时的建议。然而,AI技术的应用尚未完全成熟,其应用仍面临数据隐私、模型透明度和实际应用集成等技术和实施挑战。评估显示,AI系统能够显著提高疾病在血糖和血压控制的管理效果。
artificial intelligence(AI)is an emerging technology widely used in various industries in recent years,which has brought new broad space to the development of various industries.Its application in chronic disease management in the medical field presents potential value.Compared to traditional management methods,the deep data analysis provided by AI technology will provide more personalized and real-time recommendations for the management of chronic diseases such as diabetes and hypertension.However,the application of AI technology is not yet fully mature,and its application still faces technical and implementation challenges such as data privacy,model transparency,and real-world application integration.Evaluations have shown that AI systems can significantly improve the effectiveness of disease management in blood sugar and blood pressure control.
作者
张洁
ZHANG Jie(Physical Examination and Health Management Center,East Hospital Affiliated to Tongji University,Shanghai 200120,China)
出处
《中国卫生标准管理》
2024年第11期5-8,共4页
China Health Standard Management
关键词
人工智能
慢性疾病管理
糖尿病
高血压
数据分析
数据隐私
artificial intelligence
chronic disease management
diabetes mellitus
high blood pressure
data analysis
data privacy
