科学若丧失良知，将沦为灵魂的毁灭者：围手术期医学中大数据和人工智能的伦理。
Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine.
机构信息
From the Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
Department of Biomedical Engineering, University of California, Irvine, Irvine, California.
出版信息
Anesth Analg. 2020 May;130(5):1234-1243. doi: 10.1213/ANE.0000000000004728.
Abstract
Artificial intelligence-driven anesthesiology and perioperative care may just be around the corner. However, its promises of improved safety and patient outcomes can only become a reality if we take the time to examine its technical, ethical, and moral implications. The aim of perioperative medicine is to diagnose, treat, and prevent disease. As we introduce new interventions or devices, we must take care to do so with a conscience, keeping patient care as the main objective, and understanding that humanism is a core component of our practice. In our article, we outline key principles of artificial intelligence for the perioperative physician and explore limitations and ethical challenges in the field.
摘要
人工智能驱动的麻醉学和围手术期护理可能即将到来。然而，如果我们不花时间研究其技术、伦理和道德影响，它提高安全性和患者预后的承诺就只能是泡影。围手术期医学的目的是诊断、治疗和预防疾病。在引入新的干预措施或设备时，我们必须谨慎行事，将患者护理作为主要目标，并认识到人性化是我们实践的核心组成部分。在我们的文章中，我们概述了围手术期医师使用人工智能的关键原则，并探讨了该领域的局限性和伦理挑战。
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Anesthesiology. 2020 Feb;132(2):253-266. doi: 10.1097/ALN.0000000000003014.
2
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Anesthesiology. 2020 Feb;132(2):219-220. doi: 10.1097/ALN.0000000000003088.
3
International evaluation of an AI system for breast cancer screening.国际乳腺癌筛查人工智能系统评估。
Nature. 2020 Jan;577(7788):89-94. doi: 10.1038/s41586-019-1799-6. Epub 2020 Jan 1.
4
Applying Medical Device Informatics to Enable Safe and Secure Interoperable Systems: Medical Device Interface Data Sheets.应用医疗器械信息学实现安全、可互操作的系统：医疗器械接口数据表。
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5
Artificial intelligence and algorithmic bias: implications for health systems.人工智能与算法偏见：对卫生系统的影响
J Glob Health. 2019 Dec;9(2):010318. doi: 10.7189/jogh.09.020318.
6
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8
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