人类生殖中的人工智能

IF 4.7 3区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Archives of Medical Research Pub Date : 2024-12-01 DOI:10.1016/j.arcmed.2024.103131

Gerardo Mendizabal-Ruiz , Omar Paredes , Ángel Álvarez , Fátima Acosta-Gómez , Estefanía Hernández-Morales , Josué González-Sandoval , Celina Mendez-Zavala , Ernesto Borrayo , Alejandro Chavez-Badiola

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引用次数: 0

摘要

人工智能（AI）在人类生殖中的应用是一个快速发展的领域，既有令人兴奋的可能性，也有伦理方面的考虑。这项技术有可能提高成功率，减轻不孕不育带来的情感和经济负担。然而，这也引发了道德和隐私方面的担忧。本文概述了人工智能在人类生殖中的当前和潜在应用。它探讨了人工智能在生殖医学各个方面的应用，包括生育跟踪、辅助生殖技术、妊娠并发症管理和实验室自动化。此外，我们讨论了建立强有力的道德框架和法规的必要性，以确保在生殖医学中负责任和公平地使用人工智能。

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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Artificial intelligence in human reproduction

The use of artificial intelligence (AI) in human reproduction is a rapidly evolving field with both exciting possibilities and ethical considerations. This technology has the potential to improve success rates and reduce the emotional and financial burden of infertility. However, it also raises ethical and privacy concerns. This paper presents an overview of the current and potential applications of AI in human reproduction. It explores the use of AI in various aspects of reproductive medicine, including fertility tracking, assisted reproductive technologies, management of pregnancy complications, and laboratory automation. In addition, we discuss the need for robust ethical frameworks and regulations to ensure the responsible and equitable use of AI in reproductive medicine.

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来源期刊

Archives of Medical Research 医学-医学：研究与实验

CiteScore

12.50

自引率

0.00%

发文量

审稿时长

28 days

期刊介绍： Archives of Medical Research serves as a platform for publishing original peer-reviewed medical research, aiming to bridge gaps created by medical specialization. The journal covers three main categories - biomedical, clinical, and epidemiological contributions, along with review articles and preliminary communications. With an international scope, it presents the study of diseases from diverse perspectives, offering the medical community original investigations ranging from molecular biology to clinical epidemiology in a single publication.