Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

4区 医学 Q2 Biochemistry, Genetics and Molecular Biology
Jessica Marinaro, Marc Goldstein
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引用次数: 0

Abstract

Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the field of urology, reproductive urology specifically offers many opportunities to utilize this advanced computational technology for diagnostic and therapeutic benefit. While the use of AI models in diagnosing and treating male infertility remains in its early days, current and future applications of these models include automation of semen analysis testing; predicting semen quality; identifying subsets of infertile men most likely to benefit from surgical treatment (i.e., varicocelectomy, surgical sperm retrieval); identifying rare sperm from testis tissue; and selecting optimal sperm for in vitro fertilization (IVF) with intracytoplasmic sperm injection (ICSI). In this chapter, we review the current literature surrounding these applications and discuss opportunities for future research.

人工智能诊断和治疗男性不育症的现状和未来应用。
人工智能(AI)模型越来越多地应用于现代医学。在泌尿外科领域,生殖泌尿外科特别提供了许多利用这种先进的计算技术进行诊断和治疗的机会。虽然人工智能模型在诊断和治疗男性不育症方面的应用仍处于早期阶段,但这些模型目前和未来的应用包括精液分析测试的自动化;预测精液质量;确定最有可能从手术治疗(即精索静脉曲张切除术、手术取精)中获益的不育男性亚群;从睾丸组织中鉴定稀有精子;选择最佳精子进行体外受精(IVF)与胞浆内单精子注射(ICSI)。在本章中,我们回顾了目前有关这些应用的文献,并讨论了未来研究的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in experimental medicine and biology
Advances in experimental medicine and biology 医学-医学:研究与实验
CiteScore
5.90
自引率
0.00%
发文量
465
审稿时长
2-4 weeks
期刊介绍: Advances in Experimental Medicine and Biology provides a platform for scientific contributions in the main disciplines of the biomedicine and the life sciences. This series publishes thematic volumes on contemporary research in the areas of microbiology, immunology, neurosciences, biochemistry, biomedical engineering, genetics, physiology, and cancer research. Covering emerging topics and techniques in basic and clinical science, it brings together clinicians and researchers from various fields.
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