Ética e inteligencia artificial

IF 2.3 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL Revista clinica espanola Pub Date : 2024-03-01 DOI:10.1016/j.rce.2024.01.007
L. Inglada Galiana , L. Corral Gudino , P. Miramontes González
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Abstract

The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics in medical artificial intelligence involves ensuring that technologies are safe, fair, and respect patient privacy. This includes concerns about the accuracy of diagnoses provided by artificial intelligence, fairness in patient treatment, and protection of personal health data.

Advances in artificial intelligence can significantly improve healthcare, from more accurate diagnoses to personalized treatments. However, it is essential that developments in medical artificial intelligence are carried out with strong ethical consideration, involving healthcare professionals, artificial intelligence experts, patients, and ethics specialists to guide and oversee their implementation.

Finally, transparency in artificial intelligence algorithms and ongoing training for medical professionals are fundamental.

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情感与人工智能
医学伦理与人工智能之间的关系是一个关键而复杂的话题,属于其更广泛的范畴。医学人工智能的伦理涉及确保技术安全、公平并尊重患者隐私。这包括对人工智能提供的诊断准确性、患者治疗的公平性以及个人健康数据的保护等问题的关注。人工智能的进步可以极大地改善医疗保健,从更准确的诊断到个性化的治疗。然而,医疗人工智能的发展必须要有强烈的伦理考虑,要有医疗专业人员、人工智能专家、患者和伦理专家的参与,以指导和监督其实施。最后,人工智能算法的透明度和对医疗专业人员的持续培训也是至关重要的。
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
Revista clinica espanola
Revista clinica espanola 医学-医学:内科
CiteScore
4.40
自引率
6.90%
发文量
73
审稿时长
28 days
期刊介绍: Revista Clínica Española published its first issue in 1940 and is the body of expression of the Spanish Society of Internal Medicine (SEMI). The journal fully endorses the goals of updating knowledge and facilitating the acquisition of key developments in internal medicine applied to clinical practice. Revista Clínica Española is subject to a thorough double blind review of the received articles written in Spanish or English. Nine issues are published each year, including mostly originals, reviews and consensus documents.
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