首页|人工智能在重大慢性病临床管理中的应用进展

人工智能在重大慢性病临床管理中的应用进展

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人工智能(AI)技术近年来广泛应用于解读医学图像、预测传染病暴发、诊断疾病等多个方面。在慢性病管理中,AI通过整合和分析大数据,结合智能设备,在临床决策支持、随访、监测和治疗结果预测方面展现了其独特的优势。然而,慢性病AI管理仍面临诸多挑战,包括数据质量问题、缺乏技术与临床实践的整合、隐私安全隐忧及相关法律与制度不完善等。未来,AI需要进一步提升自然语言理解和个性化治疗推荐等方面的能力,加强AI技术人员和医疗专业人员间的密切合作,确保AI在慢性病管理中的开发和应用具有较高的临床意义,真正实现对慢性病患者预防、治疗、康复的精准管理。该文探讨了 AI在高血压、糖尿病和慢性疼痛等重大慢性病管理中的最新应用进展。
Progress in application of artificial intelligence in clinical management of major chronic diseases
Artificial intelligence(AI)technology has been widely used in many aspects such as inter-preting medical images,predicting infectious disease outbreak and diagnosing rare and common diseases.In chronic disease management,AI shows the unique advantages in the aspects of clinical decision support,fol-low-up,monitoring and prediction of treatment outcome by integrating and analyzing large datasets and com-bining with smart devices.However,the chronic disease AI management still faces many challenges including the data quality question,lack of the integration of technique and clinical practice,privacy security secret worry and imperfect relevant laws and institutions.In the future,AI needs to further elevate its capabilities in natural language understanding and personalized treatment recommendations,and strengthen the close cooperation be-tween AI technicians and medical professionals,ensure that the development and application of AI in chronic disease management has high clinical significance in order to really realize the precision management of pre-vention,treatment and rehabilitation in the patients with chronic diseases.This article explores the latest ap-plications progress of AI in the management of major chronic diseases such as hypertension,diabetes and chro-nic pain.

artificial intelligencechronic disease managementhigh blood pressurediabetes mellituschronic pain

何雨涵、刘勇

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陆军军医大学学员二大队六队,重庆 400038

陆军军医大学第二附属医院疼痛与康复医学科,重庆 400037

人工智能 慢性病管理 高血压 糖尿病 慢性疼痛

2024

重庆医学
重庆市卫生信息中心,重庆市医学会

重庆医学

CSTPCD
影响因子:1.797
ISSN:1671-8348
年,卷(期):2024.53(24)