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人工智能在妇产科领域作用的全面综述

A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology.

作者信息

Malani Sagar N, Shrivastava Deepti, Raka Mayur S

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. 2023 Feb 12;15(2):e34891. doi: 10.7759/cureus.34891. eCollection 2023 Feb.

Abstract

The exponential growth of artificial intelligence (AI) has fascinated its application in various fields and so in the field of healthcare. Technological advancements in theories and learning algorithms and the availability of processing through huge datasets have created a breakthrough in the medical field with computing systems. AI can potentially drive clinicians and practitioners with appropriate decisions in managing cases and reaching a diagnosis, so its application is extensively spread in the medical field. Thus, computerized algorithms have made predictions so simple and accurate. This is because AI can proffer information accurately even to many patients. Furthermore, the subsets of AI, namely, machine learning (ML) and deep learning (DL) methods, have aided in detecting complex patterns from huge datasets and using such patterns in making predictions. Despite numerous challenges, AI implementation in obstetrics and gynecology is found to have a spellbound development. Therefore, this review propounds exploring the implementation of AI in obstetrics and gynecology to improve the outcomes and clinical experience. In that context, the evolution and progress of AI, the role of AI in ultrasound diagnosis in distinct phases of pregnancy, clinical benefits, preterm birth postpartum period, and applications of AI in gynecology are elucidated in this review with future recommendations.

摘要

人工智能(AI)的指数级增长使其在各个领域的应用备受关注,在医疗保健领域亦是如此。理论和学习算法的技术进步以及通过海量数据集进行处理的能力,借助计算系统在医学领域取得了突破。人工智能有可能在病例管理和诊断过程中为临床医生和从业者提供恰当的决策支持,因此其应用在医学领域广泛传播。如此一来,计算机算法使预测变得简单而准确。这是因为人工智能甚至能向众多患者准确提供信息。此外,人工智能的子集,即机器学习(ML)和深度学习(DL)方法,有助于从海量数据集中检测复杂模式,并利用这些模式进行预测。尽管存在诸多挑战,但人工智能在妇产科的应用已呈现出引人入胜的发展态势。因此,本综述主张探讨人工智能在妇产科的应用,以改善治疗效果和临床体验。在此背景下,本综述阐述了人工智能的发展历程与进展、人工智能在孕期不同阶段超声诊断中的作用、临床益处、早产产后阶段以及人工智能在妇科的应用,并给出了未来建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b21/10013256/d72df721547a/cureus-0015-00000034891-i01.jpg

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