人工智能,临床决策支持算法,数学模型,计算器在不孕症中的应用:系统审查和实践数字应用
Carlo Bulletti1,2, Jason M Franasiak3, Andrea Busnelli4,5
1Help Me Doctor, Assisted Reproductive Technology, Gynecological Endocrinology and Reproductive Surgery, Cattolica, Italy.
Mayo Clinic proceedings. Digital health
|April 10, 2025
概括
临床决策支持算法 (CDSAs) 显示出改善辅助生殖技术 (ARTs) 结果的希望. 需要进一步验证以在临床实践中标准化它们的使用.
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:
- 辅助生殖技术 (ARTs) 涉及复杂的决策过程.
- 临床决策支持算法 (CDSA) 提供了优化ART结果的潜力.
研究的目的:
- 系统地审查和评估对ART的CDSA.
- 评估与传统方法相比,CDSAs在ART周期中的有效性.
- 为在ART中实施CDSA提供基于证据的指导.
主要方法:
- 在PubMed和Embase上进行系统的文献搜索 (2013年1月 - 2024年1月).
- 包括关于CDSA对ART的前性和后性研究.
- 研究被分类为预后,临床管理和胚胎评估.
主要成果:
- 116篇文章符合1746篇选文章中的入选标准.
- 11个CDSA被认为对临床和实验室实践有价值.
- 自动化决策辅助工具显示出提高体外受精结果的潜力.
结论:
- CDSA具有显著的潜力,可以提高ART的成功率.
- 一个关键的局限性是研究中缺乏标准化的验证方法.
- 进一步的临床试验和验证对于确认CDSA在临床环境中的有效性至关重要.
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