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作 者:王家雄[1] 商学军 Wang Jiaxiong;Shang Xuejun(Center for Reproduction and Genetics,the Affiliated Suzhou Hospital of Nanjing Medical University,Suzhou Municipal Hospital,Suzhou215002,China;Department of Urology,Jinling Hospital Affiliated to Nanjing University School of Medicine,General Hospital of Eastern Theater Command,Nanjing210002,China)
机构地区:[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 [2]南京大学医学院附属金陵医院、东部战区总医院泌尿外科,南京210002
出 处:《中华生殖与避孕杂志》2025年第1期19-25,共7页Chinese Journal of Reproduction and Contraception
摘 要:随着计算机硬件的突破和软件工程的进步,人工智能在包括医学领域的多个领域产生了深远影响。在男科实验研究领域,已有研究尝试利用人工智能模型进行精子质量检测,包括精液常规、精子形态和精子DNA完整性等。此外,人工智能也开始在其他男科检测领域,如病理学、影像学和遗传学检测中发挥作用。本文旨在对人工智能在男科实验诊断方面的研究进展进行综述,探讨当前人工智能检测的不足和开发中所面临的瓶颈问题,为未来人工智能在男科诊疗体系中的进一步应用提供参考。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.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] R697[自动化与计算机技术—控制科学与工程]
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