[易学堂] Nature子刊揭示: 人机协作 是胚胎影像AI分析的临床应用关键
本次介绍的论文核心揭示人类与人工智能在泛化能力，即跨场景应用与学习能力上的本质差异，该成果对胚胎图像算法临床应 … 阅读更多
生生易喜获中国医疗器械创新创业大赛人工智能与医用机器人赛季军！
第八届（2025）中国医疗器械创新创业大赛人工智能与医用机器人类别赛在北京昌平区开赛。
经过激烈角逐，生生易的“辅助生殖胚胎人工智能优选系统”喜获第三名，仅排列在两个心脑血管疾病参赛项目之后，实属不易！
Analyzing Sperm Motility Heterogeneity Using Machine Learning
The paper introduced in this presentation focuses on an … 阅读更多
Predict the formation and quality of blastocysts through the time-lapse embryo images on the third day of embryo development and before
The paper introduced here constructs an artificial inte … 阅读更多
Non-Invasive Euploid Embryo Selection: In-Depth Analysis and Application Evaluation of AI Technology
he paper introduced in this article focuses on the core … 阅读更多
Interpretation of the New Istanbul Consensus (Part 3): Core Content of Blastocyst Stage Assessment
Following the previous interpretation of the cleavage s … 阅读更多