Gynecological health remains a critical aspect of women’s overall well-being, with profound implications for maternal and reproductive outcomes. This comprehensive review synthesizes the current state of knowledge on four pivotal aspects of gynecological health: preterm birth, breast cancer and cervical cancer and infertility treatment. Machine learning (ML) has emerged as a transformative technology with the potential to revolutionize gynecology and women’s healthcare. 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. This paper investigates how machine learning (ML) algorithms are employed in the field of gynecology to tackle crucial issues pertaining to women’s health. This paper also investigates the integration of ultrasound technology with artificial intelligence (AI) during the initial, intermediate, and final stages of pregnancy. Additionally, it delves into the diverse applications of AI throughout each trimester.

This review paper provides an overview of machine learning (ML) models, introduces natural language processing (NLP) concepts, including ChatGPT, and discusses the clinical applications of artificial intelligence (AI) in gynecology. Additionally, the paper outlines the challenges in utilizing machine learning within the field of gynecology.

妇科健康仍然是妇女整体福祉的一个重要方面，对孕产妇和生殖结果具有深远影响。这篇全面的综述综合了妇科健康四个关键方面的当前知识状况：早产、乳腺癌和宫颈癌以及不孕症治疗。机器学习 (ML) 已成为一种变革性技术，有可能彻底改变妇科和女性医疗保健。人工智能的子集，即机器学习 (ML) 和深度学习 (DL) 方法，有助于从庞大的数据集中检测复杂的模式，并使用这些模式进行预测。本文研究了如何在妇科领域采用机器学习 (ML) 算法来解决与女性健康相关的关键问题。本文还研究了超声技术与人工智能（AI）在妊娠初期、中期和末期的整合。此外，它还深入研究了人工智能在每个学期的不同应用。

这篇综述文章概述了机器学习 (ML) 模型，介绍了自然语言处理 (NLP) 概念，包括 ChatGPT，并讨论了人工智能 (AI) 在妇科中的临床应用。此外，本文还概述了在妇科领域利用机器学习的挑战。