人工智能在哮喘管理中的应用:对患者护理新领域的回顾。

IF 3 3区 医学 Q2 ALLERGY
Journal of Asthma and Allergy Pub Date : 2025-08-16 eCollection Date: 2025-01-01 DOI:10.2147/JAA.S535264
Laren D Tan, Nolan Nguyen, Enrique Lopez, Daniel Peverini, Mathew Shedd, Abdullah Alismail, H Bryant Nguyen
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引用次数: 0

摘要

哮喘是一种慢性呼吸系统疾病,影响全球超过3.39亿人,其中包括2500万美国人,造成了巨大的发病率和医疗成本。尽管取得了进展,但在管理病情恶化、确保药物依从性和患者教育方面仍然存在挑战。这篇叙述性综述探讨了人工智能(AI)在通过预测分析、个性化治疗和持续患者参与改善哮喘管理方面的变革潜力。在美国国家医学图书馆的PubMed数据库中搜索有关哮喘和人工智能、机器学习(ML)、神经网络或深度学习的文章。然后回顾了目前人工智能在哮喘治疗中的应用研究,包括算法、人工智能驱动的个性化医疗工具和患者参与的数字平台。回顾了评估人工智能对预测准确性和治疗依从性影响的案例研究和临床试验。人工智能,特别是机器学习,通过分析来自可穿戴设备和患者记录的数据来预测病情恶化,分层风险,并为个性化治疗提供信息,从而增强哮喘管理。研究表明,人工智能能够推荐量身定制的干预措施,通过智能应用程序监测依从性,并促进实时治疗调整。伦理挑战包括确保患者信任、数据安全和公平获取技术。总之,人工智能在哮喘治疗中的整合在预测性干预、个性化方案和持续支持方面具有重要前景,最终旨在改善患者预后并减轻医疗负担。人工智能的持续进步将弥合目前的护理差距,促进以患者为中心、积极主动的哮喘管理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care.

Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care.

Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care.

Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care.

Asthma, a chronic respiratory condition, impacts over 339 million individuals globally, including 25 million in the United States, contributing to significant morbidity and healthcare costs. Despite advances, challenges persist in managing exacerbations, ensuring medication adherence, and patient education. This narrative review explores the transformative potential of artificial intelligence (AI) in improving asthma management through predictive analytics, personalized treatment, and continuous patient engagement. A search of the United States National Library of Medicine's PubMed database was performed for articles pertaining to asthma and artificial intelligence, machine learning (ML), neural network, or deep learning. The current research on AI applications in asthma care was then reviewed, including algorithms, AI-driven tools for personalized medicine, and digital platforms for patient engagement. Case studies and clinical trials assessing AI's impact on predictive accuracy and treatment adherence were reviewed. AI, particularly ML, enhances asthma management by analyzing data from wearables and patient records to predict exacerbations, stratify risk, and inform personalized treatment. Studies demonstrate AI's capability to recommend tailored interventions, monitor adherence through smart applications, and facilitate real-time treatment adjustments. Ethical challenges include ensuring patient trust, data security, and equitable technology access. In conclusion, AI's integration in asthma care holds significant promise for predictive interventions, personalized regimens, and continuous support, ultimately aiming to improve patient outcomes and reduce healthcare burdens. Continued advancements in AI will bridge current care gaps, fostering a patient-centric, proactive approach in asthma management.

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来源期刊
Journal of Asthma and Allergy
Journal of Asthma and Allergy Medicine-Immunology and Allergy
CiteScore
5.30
自引率
6.20%
发文量
185
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal publishing original research, reports, editorials and commentaries on the following topics: Asthma; Pulmonary physiology; Asthma related clinical health; Clinical immunology and the immunological basis of disease; Pharmacological interventions and new therapies. Although the main focus of the journal will be to publish research and clinical results in humans, preclinical, animal and in vitro studies will be published where they shed light on disease processes and potential new therapies.
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