Recent advances on the application of deep learning in assisted reproductive technology
10.3969/j.issn.1006-5725.2024.07.003
- VernacularTitle:深度学习在辅助生殖技术领域的应用进展
- Author:
Xi HU
1
;
Yan LI
;
Yang LIU
Author Information
1. 昆明医科大学第二附属医院生殖医学科(昆明 650101)
- Keywords:
deep learning;
assisted reproductive technology;
in vitro fertilization;
embryo quality;
sperm morphology;
oocyte
- From:
The Journal of Practical Medicine
2024;40(7):893-897,903
- CountryChina
- Language:Chinese
-
Abstract:
Deep learning is a machine learning method in the field of artificial intelligence,which simu-lates the workings of the neural network of the human brain to solve complex problems,and has been used in many important researches and applications in the field of medicine,such as diagnostic imaging,biomedical data pro-cessing,drug research and development,personalized medicine,etc.,which improves the accuracy and efficiency of diagnosis and treatment.In the field of assisted reproduction,deep learning could efficiently identify well-grown embryos,suitable oocytes,or sperms during the intervention process,assisting medical staff to make more accu-rate choices to improve pregnancy rates and reduce the risk of multiple pregnancies.This paper summarizes the latest advances in the application of deep learning in the field of assisted reproduction technology in the past 5 years,and provides an outlook for future research.
