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本文引用的文献

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The role of artificial intelligence in transforming maternity services in Africa: prospects and challenges.人工智能在非洲孕产妇服务转型中的作用:前景与挑战。
Ther Adv Reprod Health. 2024 Oct 15;18:26334941241288587. doi: 10.1177/26334941241288587. eCollection 2024 Jan-Dec.
2
Improving the sexual health of women with disabilities in sub-Saharan Africa: a scoping review of published studies.改善撒哈拉以南非洲残疾妇女的性健康:已发表研究的范围综述。
Reprod Health. 2024 Aug 6;21(1):116. doi: 10.1186/s12978-024-01859-1.
3
Sexual and reproductive health rights in the era of artificial intelligence.人工智能时代的性与生殖健康权利
Lancet. 2024 Jul 13;404(10448):120-121. doi: 10.1016/S0140-6736(24)00696-2.
4
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare.医疗保健领域人工智能实施障碍的系统评价
Cureus. 2023 Oct 4;15(10):e46454. doi: 10.7759/cureus.46454. eCollection 2023 Oct.
5
Individual, health facility and wider health system factors contributing to maternal deaths in Africa: A scoping review.非洲孕产妇死亡的个体、卫生机构及更广泛卫生系统因素:一项范围综述
PLOS Glob Public Health. 2022 Jul 20;2(7):e0000385. doi: 10.1371/journal.pgph.0000385. eCollection 2022.
6
A Semi-Supervised Machine Learning Approach in Predicting High-Risk Pregnancies in the Philippines.一种用于预测菲律宾高危妊娠的半监督机器学习方法。
Diagnostics (Basel). 2022 Nov 14;12(11):2782. doi: 10.3390/diagnostics12112782.
7
Experiences of women with physical disabilities accessing prenatal care in low- and middle-income countries.身体残疾女性在中低收入国家获得产前保健的体验。
Public Health Nurs. 2022 Sep;39(5):1156-1166. doi: 10.1111/phn.13087. Epub 2022 May 5.
8
Risk of Adverse Maternal Outcomes in Pregnant Women With Disabilities.残疾孕妇不良母婴结局的风险。
JAMA Netw Open. 2021 Dec 1;4(12):e2138414. doi: 10.1001/jamanetworkopen.2021.38414.
9
Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.迈向深度妊娠表型研究:改善妊娠结局的人工智能和机器学习方法的系统评价。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbaa369.
10
Wearable Health Devices in Health Care: Narrative Systematic Review.可穿戴健康设备在医疗保健中的应用:叙事系统性综述。
JMIR Mhealth Uhealth. 2020 Nov 9;8(11):e18907. doi: 10.2196/18907.

利用人工智能促进包容性孕产护理:改善非洲残疾母亲的就医机会。

Leveraging artificial intelligence for inclusive maternity care: Enhancing access for mothers with disabilities in Africa.

作者信息

Bolarinwa Obasanjo, Mohammed Aliu, Igharo Victor, Shongwe Sinegugu

机构信息

Department of Public Health, York St John University, London, UK.

Demography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Womens Health (Lond). 2025 Jan-Dec;21:17455057251326675. doi: 10.1177/17455057251326675. Epub 2025 Mar 16.

DOI:10.1177/17455057251326675
PMID:40089873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11910734/
Abstract

Women with disabilities face significant barriers in accessing maternal healthcare, which increases their risk of adverse pregnancy outcomes, particularly in Africa, where resources are limited. Artificial intelligence (AI) presents a unique opportunity to improve inclusivity and accessibility to antenatal care, skilled birth attendance and postnatal care for these women. This paper explores the potential of AI to address the socio-economic, physical, and institutional barriers that limit the utilisation of maternal healthcare services by women with disabilities. AI-driven technologies, such as virtual assistants, predictive analytics, and wearable devices, can enhance maternal health outcomes by improving monitoring during pregnancy, providing real-time health data, and facilitating access to skilled care. However, the successful implementation of AI in maternal healthcare in Africa faces challenges, including technological infrastructure, data quality, and ethical concerns. Collaborative efforts between governments, healthcare providers, and AI developers are necessary to overcome these challenges and ensure AI tools are inclusive, culturally sensitive, and accessible. Integrating AI into maternal healthcare services could lead to improved maternal outcomes, reduce mortality rates, and promote equity for women with disabilities in Africa.

摘要

残疾妇女在获得孕产妇保健服务方面面临重大障碍,这增加了她们出现不良妊娠结局的风险,在资源有限的非洲尤其如此。人工智能为改善这些妇女获得产前护理、熟练助产服务和产后护理的包容性和可及性提供了独特机遇。本文探讨了人工智能在解决限制残疾妇女利用孕产妇保健服务的社会经济、身体和制度障碍方面的潜力。虚拟助手、预测分析和可穿戴设备等人工智能驱动技术可通过改善孕期监测、提供实时健康数据以及促进获得熟练护理服务来提高孕产妇健康结局。然而,在非洲将人工智能成功应用于孕产妇保健面临诸多挑战,包括技术基础设施、数据质量和伦理问题。政府、医疗服务提供者和人工智能开发者之间需要共同努力,以克服这些挑战,并确保人工智能工具具有包容性、对文化敏感且易于使用。将人工智能整合到孕产妇保健服务中可改善孕产妇结局、降低死亡率,并促进非洲残疾妇女的公平权益。