卵胞浆内单精子注射(ICSI)悖论 "与 "无知":第四次工业革命时代的人工智能,为盲点导航。

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Reproductive Biology and Endocrinology Pub Date : 2024-02-13 DOI:10.1186/s12958-024-01193-y
Pallav Sengupta, Sulagna Dutta, Ravindran Jegasothy, Petr Slama, Chak-Lam Cho, Shubhadeep Roychoudhury
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引用次数: 0

摘要

卵胞浆内单精子显微注射(ICSI)悖论是辅助生殖技术(ART)与 "医学无知"(andrological ignorance)之间的矛盾。尽管卵胞浆内单精子显微注射(ICSI)有可能繁殖出基因有缺陷的精子,从而对后代的健康构成威胁,但它仍被普遍用作严重男性不育症的解决方案,这就说明了这一悖论。我们认为,工业革命 4.0(IR 4.0)和人工智能(AI)技术的迅猛发展,为解决男性不育问题带来了变革性的转变,特别是通过缓解 "无知的遗传学 "所带来的局限性。我们主张亟需超越医学上的无知,将人工智能视为精确诊断和治疗男性不育根源的基石。这种方法还包括识别后代的潜在遗传缺陷,建立男性生殖健康知识平台,以及优化治疗效果。我们的假设表明,人工智能的吸收可简化卵胞浆内单精子显微注射(ICSI)的实施,从而全面提升男性生育治疗领域的水平。然而,要证实人工智能在临床环境中的应用效果,必须开展进一步的研究。本文强调了在快节奏的生殖医学领域利用人工智能技术优化患者治疗效果的重要意义,从而促进下一代的福祉。
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'Intracytoplasmic sperm injection (ICSI) paradox' and 'andrological ignorance': AI in the era of fourth industrial revolution to navigate the blind spots.

The quandary known as the Intracytoplasmic Sperm Injection (ICSI) paradox is found at the juncture of Assisted Reproductive Technology (ART) and 'andrological ignorance' - a term coined to denote the undervalued treatment and comprehension of male infertility. The prevalent use of ICSI as a solution for severe male infertility, despite its potential to propagate genetically defective sperm, consequently posing a threat to progeny health, illuminates this paradox. We posit that the meteoric rise in Industrial Revolution 4.0 (IR 4.0) and Artificial Intelligence (AI) technologies holds the potential for a transformative shift in addressing male infertility, specifically by mitigating the limitations engendered by 'andrological ignorance.' We advocate for the urgent need to transcend andrological ignorance, envisaging AI as a cornerstone in the precise diagnosis and treatment of the root causes of male infertility. This approach also incorporates the identification of potential genetic defects in descendants, the establishment of knowledge platforms dedicated to male reproductive health, and the optimization of therapeutic outcomes. Our hypothesis suggests that the assimilation of AI could streamline ICSI implementation, leading to an overall enhancement in the realm of male fertility treatments. However, it is essential to conduct further investigations to substantiate the efficacy of AI applications in a clinical setting. This article emphasizes the significance of harnessing AI technologies to optimize patient outcomes in the fast-paced domain of reproductive medicine, thereby fostering the well-being of upcoming generations.

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来源期刊
Reproductive Biology and Endocrinology
Reproductive Biology and Endocrinology 医学-内分泌学与代谢
CiteScore
7.90
自引率
2.30%
发文量
161
审稿时长
4-8 weeks
期刊介绍: Reproductive Biology and Endocrinology publishes and disseminates high-quality results from excellent research in the reproductive sciences. The journal publishes on topics covering gametogenesis, fertilization, early embryonic development, embryo-uterus interaction, reproductive development, pregnancy, uterine biology, endocrinology of reproduction, control of reproduction, reproductive immunology, neuroendocrinology, and veterinary and human reproductive medicine, including all vertebrate species.
期刊最新文献
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