The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies

IF 2.6 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Victoria S. Jiang MD , Zoran J. Pavlovic MD , Eduardo Hariton MD, MBA
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引用次数: 0
人工智能和机器学习在辅助生殖技术中的作用。
人工智能(AI)和机器学习是医学中最常用的形式,它们利用大数据集和智能算法的优势提供了强大的工具。这些系统可以帮助彻底改变治疗的提供、医疗服务的获得和结果的改善,特别是在生殖医学领域。无论是更强大的卵母细胞和胚胎分级,还是更准确的卵泡测量,人工智能都将能够帮助临床医生,最重要的是帮助患者,提供尽可能好的个性化护理。然而,尽管人工智能具有所有潜在的优势,但算法也不能免受偏见的影响,并且容易受到当前医疗系统所遭受的许多社会经济和人口偏见的影响。如果人工智能的能力和局限性都没有得到很好的理解,错误的诊断也会加剧医疗歧视。掌握了人工智能如何在医学,特别是生殖医学中最恰当地运作的适当知识,将使临床医生能够创造和利用基于机器学习的创新,进一步发展生殖医学,并最终实现建立健康家庭的目标。
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来源期刊
CiteScore
5.40
自引率
0.00%
发文量
79
审稿时长
>12 weeks
期刊介绍: Obstetrics and Gynecology Clinics of North America updates you on the latest trends in patient management, keeps you up to date on the newest advances, and provides a sound basis for choosing treatment options. Each issue focuses on a single topic in obstetrics and gynecology and is presented under the direction of an experienced editor. Topics include clinical information in maternal-fetal medicine, reproductive endocrinology and infertility, gynecologic oncology, and urogynecology as well as general obstetrics and gynecology. Obstetrics and Gynecology Clinics of North America is published four times per year, in March, June, September, and December.
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