Instituto Rubi, Cami dels Reis, 308, 07010, Palma de Mallorca, Spain.
Department of Plastic and Reconstructive Surgery, Albacete University Hospital, Albacete, Spain.
Aesthetic Plast Surg. 2024 Jun;48(11):2204-2209. doi: 10.1007/s00266-024-03932-3. Epub 2024 Mar 8.
INTRODUCTION: Artificial intelligence (AI) holds the potential to revolutionize medicine, offering vast improvements for plastic surgery. While human physicians are limited to one lifetime of experience, AI is poised to soon surpass human capabilities, as it draws on limitless information and continuous learning abilities. Nevertheless, as AI becomes increasingly prevalent in this domain, it gives rise to critical ethical considerations that must be addressed by professionals. MATERIALS AND METHODS: This work reviews the literature referring to the ethical challenges brought on by the ever-expanding use of AI in plastic surgery and offers guidelines for its application. RESULTS: Ethical challenges include the disclosure of use of AI by caregivers, validation of decision-making, data privacy, informed consent and autonomy, potential biases in AI systems, the opaque nature of AI models, questions of liability, and the need for regulations. CONCLUSIONS: There is a lack of consensus for the ethical use of AI in plastic surgery. Guidelines, such as those presented in this work, are needed within each discipline of medicine to respond to important ethical considerations for the safe use of AI. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
简介:人工智能(AI)有可能彻底改变医学,为整形手术带来巨大的进步。虽然人类医生的经验局限于一生,但 AI 很快就有可能超越人类的能力,因为它可以利用无限的信息和持续学习的能力。然而,随着 AI 在该领域的应用越来越广泛,它引发了一些关键的伦理问题,这些问题必须由专业人士来解决。
材料和方法:这项工作回顾了文献中提到的人工智能在整形手术中应用不断扩大所带来的伦理挑战,并为其应用提供了指导方针。
结果:伦理挑战包括护理人员使用 AI 的披露、决策验证、数据隐私、知情同意和自主权、AI 系统中的潜在偏见、AI 模型的不透明性、责任问题以及监管的必要性。
结论:对于整形手术中人工智能的伦理使用,缺乏共识。在医学的每个学科中都需要指南,以应对人工智能安全使用的重要伦理问题。
证据水平 V:本杂志要求作者为每篇文章分配一个证据水平。有关这些循证医学评级的完整描述,请参阅目录或在线作者指南 www.springer.com/00266 。
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