Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

In Vitro Fertilization01:24

In Vitro Fertilization

In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Intrauterine natural killer cell therapy for unexplained recurrent pregnancy failure.

National science review·2026
Same author

SETD7 methylates the endometrial master regulator HOXA10 to facilitate H3K4me1 peaking for endometrial decidualization†.

Biology of reproduction·2026
Same author

Decrypting spatiotemporal code of human endometrial receptivity.

Nature communications·2025
Same author

Mevalonate metabolites boost aged oocyte quality through prenylation of small GTPases.

Nature aging·2025
Same author

Down-regulation of IGFBP2 mediates endometrial epithelial cells senescence in thin endometrium.

Molecular human reproduction·2025
Same author

An interpretable artificial intelligence approach to differentiate between blastocysts with similar or same morphological grades.

Human reproduction (Oxford, England)·2025

相关实验视频

Updated: May 12, 2026

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K

通过可解释的人工智能方法对抗传统形态分级的胚胎细胞选择:随机对照试验的研究协议.

Shanshan Wang1, Lei Chen1, Guanqiao Shan2

  • 1Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.

BMJ open
|July 11, 2025
PubMed
概括

本研究介绍了一种可解释的人工智能 (AI) 方法,用于选择用于体外受精 (IVF) 的最佳胚胎. 目标是通过为胚胎学家提供透明的AI驱动的见解来提高试管婴儿成功率.

关键词:
人工智能的人工智能胚胎学 胚胎学生殖医学是一种生殖医学.

更多相关视频

Human Blastocyst Biopsy and Vitrification
10:59

Human Blastocyst Biopsy and Vitrification

Published on: July 26, 2019

22.8K
Mouse Round Spermatid Injection
08:41

Mouse Round Spermatid Injection

Published on: January 26, 2024

929

相关实验视频

Last Updated: May 12, 2026

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
09:03

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K
Human Blastocyst Biopsy and Vitrification
10:59

Human Blastocyst Biopsy and Vitrification

Published on: July 26, 2019

22.8K
Mouse Round Spermatid Injection
08:41

Mouse Round Spermatid Injection

Published on: January 26, 2024

929

科学领域:

  • 生殖医学 生殖医学
  • 医疗保健中的人工智能
  • 胚胎学 胚胎学

背景情况:

  • 胚胎质量对于体外受精 (IVF) 成功至关重要.
  • 目前人类对囊胚细胞的评估是主观和不一致的.
  • 现有的IVF人工智能方法缺乏解释性,引发了伦理方面的担忧.

研究的目的:

  • 开发和评估一种新的,可解释的人工智能 (AI) 方法来进行胚胎细胞选.
  • 提高人工智能在试管婴儿过程中的透明度和临床适用性.
  • 通过更可靠的胚胎选择,改善体外受精 (IVF) 的结果.

主要方法:

  • 一个单中心,单盲随机受控试验 (RCT) 涉及1100名妇女接受他们的第一个试管婴儿周期.
  • 年龄在20-35岁的参与者,至少有两个可使用的母细胞囊,将被随机选择.
  • 传统形态评估与新型可解释AI组之间的比较.

主要成果:

  • 主要结局是怀孕12周正在进行的怀孕.
  • 该研究旨在确定可解释的人工智能方法是否与传统方法相比提高了试管婴儿成功率.
  • 数据收集和分析正在进行中.

结论:

  • 已开发出一种可解释的AI方法,用于IVF中的胚胎细胞选择.
  • 这种新的方法旨在解决主观人类评估和不透明的人工智能算法的局限性.
  • 该RCT将提供关于这种透明AI工具在改善试管婴儿结果方面的临床有效性的关键数据.