收稿日期: 2023-11-13
网络出版日期: 2024-04-08
基金资助
云南省兴滇英才支持计划名医项目(XDYC- MY-2022-0057);云南省专业学位研究生教学案例库(20208007);昆明医科大学中青年学科带头人及后备人选-“乘风”人才培养计划(2023（108）)
Recent advances on the application of deep learning in assisted reproductive technology
Received date: 2023-11-13
Online published: 2024-04-08
胡希 , 李艳 , 刘洋 . 深度学习在辅助生殖技术领域的应用进展[J]. 实用医学杂志, 2024 , 40(7) : 893 -897 . DOI: 10.3969/j.issn.1006-5725.2024.07.003
Deep learning is a machine learning method in the field of artificial intelligence， which simulates 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 processing， 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 accurate 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.
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