让人工智能和机器学习 "公平 "地融入我们的医疗保健系统

Q2 Medicine

North Carolina Medical Journal Pub Date : 2024-07-11 DOI:10.18043/001c.120565

Ritu Agarwal, G. Gao

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引用次数: 1

摘要

在对人工智能和机器学习在医疗保健领域的前景充满热情的同时，还必须对这些技术可能对健康公平目标造成的任何潜在不利影响进行监督和补救。我们阐述了在医疗保健领域使用人工智能/机器学习的五个公平要务，需要医疗保健专业人士、开发人员和政策制定者予以关注。

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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Toward an “Equitable” Assimilation of Artificial Intelligence and Machine Learning into Our Health Care System

Enthusiasm about the promise of artificial intelligence and machine learning in health care must be accompanied by oversight and remediation of any potential adverse effects on health equity goals that these technologies may create. We describe five equity imperatives for the use of AI/ML in health care that require attention from health care professionals, developers, and policymakers.

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来源期刊

North Carolina Medical Journal Medicine-Medicine (all)

CiteScore

1.40

自引率

0.00%

发文量

121

期刊介绍： NCMJ, the North Carolina Medical Journal, is meant to be read by everyone with an interest in improving the health of North Carolinians. We seek to make the Journal a sounding board for new ideas, new approaches, and new policies that will deliver high quality health care, support healthy choices, and maintain a healthy environment in our state.