人工智能对改变医患关系的影响

P.-E. Heudel , H. Crochet , J.-Y. Blay
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摘要

背景人工智能(AI)与肿瘤学的结合是一个不断发展的领域,它影响着医患关系和癌症治疗的效果。虽然人工智能通过分析庞大的医疗数据集在提高临床效率和个性化护理方面的作用已得到认可,但其全部范围和影响尚未被完全理解。结果本文假设人工智能可以提高癌症护理的质量,但也指出了一些挑战,如潜在的人格解体、数据隐私问题和伦理困境。本文还强调了人工智能在促进 "共同决策"、增强患者能力和协助肿瘤学家做出更明智决策方面的潜力。然而,本文也讨论了人工智能驱动的家长作风的风险以及平衡人工智能建议与患者自主权的必要性。本文总结道,要想让人工智能带来益处,就应该以合作和患者为中心进行整合,确保技术进步能够支持和提高医患关系的质量,而不是破坏医患关系。文章强调了透明沟通、对患者进行人工智能教育的重要性,以及肿瘤学家有效理解和传达人工智能生成数据的必要性。
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Impact of artificial intelligence in transforming the doctor–cancer patient relationship

Background

The integration of Artificial Intelligence (AI) in oncology is a developing field, impacting the doctor-patient relationship and the efficacy of cancer care. While AI’s role in improving clinical efficiency and personalized care through the analysis of vast medical datasets is acknowledged, its full scope and impact are not yet completely understood.

Materials and methods

This article synthesizes empirical studies and expert opinions to offer a comprehensive understanding of AI’s current role in oncology. The methodology focuses on exploring the balance between technological advancements and the essential elements of patient-centered care.

Results

The paper hypothesizes that AI can enhance the quality of cancer care, but notes challenges such as potential depersonalization, data privacy issues, and ethical dilemmas. It also highlights AI’s potential in facilitating Shared Decision-Making, empowering patients and assisting oncologists in making more informed decisions. However, the risk of AI-driven paternalism and the need for balancing AI recommendations with patient autonomy are discussed.

Conclusions

AI holds significant potential to transform cancer care. The paper concludes that for AI to be beneficial, its integration should be collaborative and patient-centered, ensuring that technological advancements support and enhance the quality of the doctor-patient relationship, rather than undermining it. The article emphasizes the importance of transparent communication, patient education about AI, and the need for oncologists to effectively understand and convey AI-generated data.

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