时间缩短系统中的人工智能:生殖医学的进步,应用和未来前景
Thi-My-Trang Luong1,2, Nguyen Quoc Khanh Le3,4,5,6
1International Master Program in Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan.
Journal of assisted reproduction and genetics
|October 25, 2023
概括
人工智能 (AI) 正在增强胚胎化时间缩短系统 (TLS),改善体外受精 (IVF) 中客观胚胎质量预测. 这种人工智能集成旨在标准化评估并提高试管婴儿成功率.
科学领域:
- 生殖医学 生殖医学
- 生物技术是生物技术.
- 人工智能的人工智能
背景情况:
- 在体外受精 (IVF) 需求需要改进胚胎评估技术.
- 目前的胚胎质量评估依赖于主观方法,导致变化.
- 时间间隔系统 (TLS) 提供了一个可控的环境,但需要客观分析.
研究的目的:
- 审查人工智能 (AI) 算法的进展,用于试管婴儿中的时间间隔系统 (TLS).
- 探索人工智能在预测胚胎质量和试管婴儿结果方面的应用.
- 确定人工智能在生殖医学中的挑战和机遇.
主要方法:
- 对应用到TLS数据的AI算法进行当前研究的审查.
- 对用于胚胎评估的人工智能实施的分析.
- 使用人工智能辅助TLS预测试管婴儿结果的综合研究.
主要成果:
- 人工智能算法在标准化和客观评估TLS的胚胎质量方面表现有前途.
- 人工智能与TLS的整合可以改善试管婴儿周期成功的预测.
- 目前正在探索各种AI方法,用于TLS中的各种应用.
结论:
- 人工智能提供了一条克服胚胎评估主观性的途径,提高了试管婴儿的效率.
- 对人工智能和TLS集成的进一步研究对于推进生殖技术至关重要.
- 人工智能驱动的TLS在全球范围内有很大的潜力提高试管婴儿成功率.
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