Applications and advances of artificial intelligence in embryo evaluation
10.3760/cma.j.cn101441-20241104-00403
- VernacularTitle:人工智能在胚胎评估中的应用与进展
- Author:
Shanshan WANG
1
;
Haixiang SUN
1
Author Information
1. 南京大学医学院附属鼓楼医院生殖医学和妇产医学中心，南京 210008
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Embryo evaluation;
Deep learning
- From:
Chinese Journal of Reproduction and Contraception
2025;45(1):26-30
- CountryChina
- Language:Chinese
-
Abstract:
With the rapid development of artificial intelligence (AI) technology, its application in embryo evaluation is becoming more and more extensive. This article reviews the main progress of AI in embryo evaluation in recent years, including image recognition, embryo quality evaluation and outcome prediction. AI models can effectively analyze large-scale embryo image data and identify morphological features, thereby improving the accuracy and efficiency of evaluation. In addition, AI can also integrate images and clinical data to provide individualized embryo evaluation strategies. While AI shows promising potential in embryo evaluation, challenges remain in model interpretability and clinical application standardization. Future study needs to explore the application potential of AI in embryo evaluation in depth to promote the development and innovation of reproductive medicine.
