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孕期戒烟的人工智能技术

Artificial Intelligence for Smoking Cessation in Pregnancy.

作者信息

Georgakopoulou Vasiliki E, Diamanti Athina

机构信息

Department of Pathophysiology/Pulmonology, Laiko General Hospital, Athens, GRC.

Department of Midwifery, University of West Attica, Athens, GRC.

出版信息

Cureus. 2024 Jul 3;16(7):e63732. doi: 10.7759/cureus.63732. eCollection 2024 Jul.

DOI:10.7759/cureus.63732
PMID:39100043
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11296692/
Abstract

Artificial intelligence (AI) has emerged as a revolutionary tool in various healthcare domains, including smoking cessation among pregnant women. Smoking during pregnancy is a significant public health concern, linked to adverse maternal and fetal outcomes. Traditional cessation methods have had limited success, necessitating innovative approaches. AI offers personalized interventions, predictive analytics, and real-time support, enhancing the effectiveness of smoking cessation programs. This editorial explores the potential of AI in transforming smoking cessation efforts for pregnant women, highlighting its benefits, challenges, and future prospects. By integrating AI into healthcare strategies, we can improve maternal and fetal health outcomes and contribute to the broader public health goal of reducing smoking rates among expectant mothers.

摘要

人工智能(AI)已成为各个医疗领域的一种革命性工具,包括孕妇戒烟。孕期吸烟是一个重大的公共卫生问题,与不良的母婴结局相关。传统的戒烟方法成效有限,因此需要创新方法。人工智能提供个性化干预、预测分析和实时支持,提高了戒烟项目的有效性。这篇社论探讨了人工智能在改变孕妇戒烟工作方面的潜力,强调了其益处、挑战和未来前景。通过将人工智能纳入医疗保健策略,我们可以改善母婴健康结局,并为降低准妈妈吸烟率这一更广泛的公共卫生目标做出贡献。

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本文引用的文献

1
Effectiveness of smoking cessation interventions among pregnant women: An updated systematic review and meta-analysis.孕妇戒烟干预措施的有效性:一项更新的系统评价与荟萃分析。
Addict Behav. 2024 Jan;148:107854. doi: 10.1016/j.addbeh.2023.107854. Epub 2023 Sep 3.
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