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人工智能 (AI) 在试管婴儿中接近男性不孕症:一个映射审查
Kowsar Qaderi1, Foruzan Sharifipour1, Mahsa Dabir2
1Midwifery Department, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
European journal of medical research
|April 4, 2025
概括
人工智能 (AI) 改善了男性不孕症诊断和试管婴儿的结果. 人工智能工具增强了精子分析和预测成功,为更可靠的生育治疗铺平了道路.
科学领域:
- 生殖医学 生殖医学
- 医疗信息学 医疗信息学
背景情况:
- 男性不孕症影响20-30%的病例,目前的诊断有局限性.
- 人工智能 (AI) 提供了在试管婴儿 (IVF) 中提高男性不孕症管理的精度和效率的潜力.
研究的目的:
- 在男性不孕症管理中映射人工智能应用.
- 评估人工智能在试管婴儿环境中的表现.
- 确定研究缺口,并提出临床采用策略.
主要方法:
- 从主要数据库 (PubMed,Scopus,IEEE,Web of Science) 中,对14项发表到2024年的研究进行了映射审查.
- 使用关键词"IVF"",AI"和"精子分析"进行系统搜索,遵循PRISMA指南.
- 独立选,数据提取和内容分析人工智能技术,样本大小和结果.
主要成果:
- 人工智能利用支持向量机器 (SVM),多层感知子 (MLP) 和深度神经网络来检测精子形态,运动性和非阻塞性亚精 (NOA) 精子.
- 人工智能在分类精子形态 (AUC 88.59%) 和运动性 (91%准确度) 中表现出很高的表现.
- 人工智能工具有效地预测试管婴儿成功 (AUC 84.23%) 和评估精子DNA碎片化,自2021年以来研究显著增加.
结论:
- 人工智能显著提高了对IVF男性不孕症的诊断准确性和治疗结果.
- 未来的研究应该专注于多中心验证,人工智能驱动的精子选择和临床可靠性的标准化方法.
- 解决伦理方面的考虑,如数据隐私,对于全球人工智能采用来提高试管婴儿成功率至关重要.
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