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妇产科中的人工智能:改变护理与治疗结果

Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes.

作者信息

Patel Dharmesh J, Chaudhari Kamlesh, Acharya Neema, Shrivastava Deepti, Muneeba Shaikh

机构信息

Department of Obstetrics and Gynecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND.

出版信息

Cureus. 2024 Jul 17;16(7):e64725. doi: 10.7759/cureus.64725. eCollection 2024 Jul.

DOI:10.7759/cureus.64725
PMID:39156405
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11329325/
Abstract

The integration of artificial intelligence (AI) in obstetrics and gynecology (OB/GYN) is revolutionizing the landscape of women's healthcare. This review article explores the transformative impact of AI technologies on the diagnosis, treatment, and management of obstetric and gynecological conditions. We examine key advancements in AI-driven imaging techniques, predictive analytics, and personalized medicine, highlighting their roles in enhancing prenatal care, improving maternal and fetal outcomes, and optimizing gynecological interventions. The article also addresses the challenges and ethical considerations associated with the implementation of AI in clinical practice. This paper highlights the potential of AI to greatly improve the standard of care in OB/GYN, ultimately leading to better health outcomes for women, by offering a thorough overview of present AI uses and future prospects.

摘要

人工智能(AI)在妇产科(OB/GYN)中的整合正在彻底改变女性医疗保健的格局。这篇综述文章探讨了人工智能技术对妇产科疾病的诊断、治疗和管理的变革性影响。我们研究了人工智能驱动的成像技术、预测分析和个性化医疗方面的关键进展,强调了它们在加强产前护理、改善母婴结局以及优化妇科干预措施中的作用。文章还讨论了在临床实践中实施人工智能所涉及的挑战和伦理考量。通过全面概述当前人工智能的应用和未来前景,本文突出了人工智能在极大提高妇产科护理标准方面的潜力,最终为女性带来更好的健康结局。

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本文引用的文献

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A Theoretical Exploration of Artificial Intelligence's Impact on Feto-Maternal Health from Conception to Delivery.从受孕到分娩人工智能对母婴健康影响的理论探索
Int J Womens Health. 2024 May 22;16:903-915. doi: 10.2147/IJWH.S454127. eCollection 2024.
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New insights on labor progression: a systematic review.分娩进程的新认识:系统评价。
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Applications of artificial intelligence in obstetrics.人工智能在产科中的应用。
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Health Records Database and Inherent Security Concerns: A Review of the Literature.健康记录数据库与内在安全问题:文献综述
Cureus. 2022 Oct 11;14(10):e30168. doi: 10.7759/cureus.30168. eCollection 2022 Oct.
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Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review.人工智能在妇产科期刊中的应用:系统评价。
J Med Internet Res. 2022 Apr 20;24(4):e35465. doi: 10.2196/35465.
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Artificial intelligence applied to fetal MRI: A scoping review of current research.人工智能在胎儿 MRI 中的应用:当前研究的范围综述。
Br J Radiol. 2023 Jul;96(1147):20211205. doi: 10.1259/bjr.20211205. Epub 2022 Mar 18.
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Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.在医学中开发、实施和治理人工智能:预防人工智能寒冬的逐步方法。
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Success Factors of Artificial Intelligence Implementation in Healthcare.医疗保健领域人工智能实施的成功因素。
Front Digit Health. 2021 Jun 16;3:594971. doi: 10.3389/fdgth.2021.594971. eCollection 2021.
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Deep neural network-based classification of cardiotocograms outperformed conventional algorithms.基于深度神经网络的胎心监护图分类优于传统算法。
Sci Rep. 2021 Jun 28;11(1):13367. doi: 10.1038/s41598-021-92805-9.
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Nat Med. 2021 May;27(5):882-891. doi: 10.1038/s41591-021-01342-5. Epub 2021 May 14.