人工辅助生殖中的人工智能:一个仍在寻找临床影响的范式转变
Danilo Cimadomo1,2, Giovanni Coticchio2, Laura Rienzi2,3
1Department of Biology and Biotechnology 'Lazzaro Spallanzani', Laboratory of Biology and Biotechnology of Reproduction, University of Pavia, Pavia.
Current opinion in obstetrics & gynecology
|February 1, 2026
概括
人工智能 (AI) 在辅助生殖中显示出有限的临床价值,原因是方法上的弱点和过度强调胚胎选择. 未来的应用需要严格的验证和透明度才能产生有意义的影响.
科学领域:
- 生殖医学 生殖医学
- 医疗人工智能 医疗人工智能
- 临床数据科学 临床数据科学
背景情况:
- 人工智能 (AI) 越来越多地被提出用于人类辅助生殖的应用.
- 尽管有很大的兴趣和高的期望,AI在这个领域的实际临床实用性仍然在很大程度上未被证明.
研究的目的:
- 对人工智能在辅助生殖方面的现有证据进行批判性评估.
- 区分人工智能提供真正临床价值的领域与那些有膨胀期望的领域.
主要方法:
- 对人工智能在辅助生殖方面发表的研究进行系统审查和批判性重新评估.
- 分析方法质量,验证,可解释性,并与标准临床实践进行比较.
主要成果:
- 大多数研究都表现出方法上的缺陷:可复制性差,外部验证有限,缺乏可解释性,与标准护理的比较较弱.
- 研究不成比例地集中在胚胎选择上,导致临床结果的改善有限.
- 许多报告的好处与代用终点有关,而不是明确的临床结果.
结论:
- 人工智能在配体评估,自动数据提取和个性化结果预测方面表现有前途,以帮助临床决策.
- 实现人工智能的潜力需要研究转向透明度,外部验证和基准测试.
- 如果没有战略性重新校准,人工智能可能仍然是一个销的技术,在辅助生殖中具有边缘临床相关性.
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