Generalization validation of an interpretable artificial intelligence embryo selection model: a Cross-Brand retrospective study
The present study validated the generalizability of our AI-based embryo assessment system across different brands of time-lapse imaging systems.
一种可解释的人工智能胚胎选择模型的泛化验证：一项跨品牌的回顾性研究
Human Reproduction & The 41th Annual Meeting of the … 阅读更多
Practical Application of Trustworthy AI in Embryo Selection
No Abstract Available
Utilizing Artificial Intelligence to Uncover Day 5 Morphokinetic Features Associated with Single Blastocyst Transfer Implantation Outcome
An interpretable AI model was designed to quantify Day 5 blastocyst dynamics, including growth and spontaneous collapse, improving implantation prediction compared to conventional approaches.
基于人工智能的Day 5新形态学参数预测单囊胚移植结果
Human Reproduction & The 40th Annual Meeting of the … 阅读更多
胚胎图像的自动分析：基于Day5可解释发育参数的人工智能模型预测囊胚的临床妊娠结局
江苏省生殖医学会议发言
Interpretable Artificial Intelligence-Assisted Embryo Selection Improved Single-Blastocyst Transfer Outcomes: A Prospective Cohort Study
This prospective cohort study demonstrates that an interpretable AI model may assist embryologists in improving implantation rates during single-blastocyst transfer. The findings support the potential clinical value of AI-assisted embryo selection, warranting further validation in broader settings.