Why is the idea of AI completely replacing physicians a pseudo-problem? a philosophical analysis.

IF 0.8 Q3 MEDICAL ETHICS
Journal of Medical Ethics and History of Medicine Pub Date : 2025-05-25 eCollection Date: 2025-01-01 DOI:10.18502/jmehm.v18i1.18814
Alireza Monajemi
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引用次数: 0

Abstract

Artificial intelligence (AI) has the potential to revolutionize healthcare, but is unlikely to fully replace human doctors. This paper explores the limitations of AI in healthcare, focusing on three key areas: lack of embodiment, limited understanding of meaning in everyday language, and the inability to exercise judgment and clinical reasoning. Recognizing these limitations enables us to use AI to enhance our capabilities rather than allowing it to substitute humans. Following this philosophical examination of AI's limitations, I will argue that the question of whether AI will replace doctors is a misleading one. Instead, this framework advocates for synergistic human-AI collaboration in health-care settings. It necessitates the development of hybrid entities: a physician-AI partnership and a patient-AI interface. The overarching objective is to effectively address the core mission of medicine, which is providing optimal treatment and compassionate care for all patients. This hybrid model must proactively mitigate the risks of AI integration, such as exacerbation of existing health-care challenges and potential dehumanization of patient care. Within this framework, key objectives include: reducing medical errors, fostering humane doctor-patient relationships, mitigating the trend of medicalization, and ultimately improving overall public health outcomes.

为什么人工智能完全取代医生的想法是一个伪问题?哲学分析。
人工智能(AI)有可能彻底改变医疗保健,但不太可能完全取代人类医生。本文探讨了人工智能在医疗保健领域的局限性,重点关注三个关键领域:缺乏体现,对日常语言意义的理解有限,以及无法进行判断和临床推理。认识到这些限制使我们能够利用人工智能来增强我们的能力,而不是让它取代人类。在对人工智能的局限性进行哲学考察之后,我将认为人工智能是否会取代医生的问题是一个误导性的问题。相反,该框架提倡在卫生保健环境中进行人与人工智能的协同合作。它需要发展混合实体:医生与人工智能的合作伙伴关系和患者与人工智能的接口。总体目标是有效地解决医学的核心使命,即为所有患者提供最佳治疗和富有同情心的护理。这种混合模式必须主动减轻人工智能整合的风险,例如加剧现有的医疗保健挑战和患者护理的潜在非人性化。在这一框架内,主要目标包括:减少医疗差错,培养人道的医患关系,减缓医疗化趋势,并最终改善整体公共卫生结果。
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
CiteScore
1.80
自引率
0.00%
发文量
23
审稿时长
23 weeks
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