Advances in the application of artificial intelligence in experimental diagnosis in andrology
10.3760/cma.j.cn101441-20241030-00393
- VernacularTitle:人工智能在男科实验诊断中的应用进展
- Author:
Jiaxiong WANG
1
;
Xuejun SHANG
Author Information
1. 南京医科大学附属苏州医院 苏州市立医院生殖与遗传中心，苏州 215002
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Andrology;
Clinical laboratory;
Deep learning
- From:
Chinese Journal of Reproduction and Contraception
2025;45(1):19-25
- CountryChina
- Language:Chinese
-
Abstract:
With the breakthroughs in computer hardware and the advancement of software engineering, artificial intelligence (AI) has exerted a profound impact across various domains, including the medical field. In the realm of urological experimental research, studies have endeavored to employ AI models for the assessment of sperm quality, encompassing routine semen analysis, sperm morphology, and sperm DNA integrity testing. Moreover, AI is beginning to play a role in other urological diagnostic areas, such as pathology, radiology, and genetic testing. The purpose of this article is to summarize the research progress in AI applications within urological laboratory diagnostics, to discuss the current limitations and bottlenecks in AI detection, and to provide a reference for the further application of AI in the urological diagnostic and treatment framework.
