未来的医生和病人:探索未来医疗保健中人工智能、预防医学和伦理挑战的交叉点。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-04-03 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1588479
Paulo Santos, Isabel Nazaré
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引用次数: 0

摘要

人工智能(AI)与医疗保健的快速整合改变了医疗决策、预防策略和患者参与。人工智能驱动的技术,包括实时健康监测和预测分析,提供了新的个性化预防保健可能性。然而,关于伦理影响、数据安全和公平访问的担忧仍未得到解决。本文解决了人工智能集成在预防性医疗保健中的关键差距,突出了其影响的统计证据。它还探讨了人工智能、预防医学和未来医疗保健中的伦理挑战的交集,展望了医生和患者在人工智能集成生态系统中不断变化的角色。预测2040年的一个虚构案例研究,说明了一个完全数字化的、人工智能支持的医疗保健系统,框架关于数字卫生技术、隐私法规和人工智能在未来预防医学中的伦理影响的讨论。由人工智能驱动的数字卫生干预将促进实时预防战略,加强患者自主权,并加强精准医疗。然而,必须解决算法偏见、数据隐私和医疗公平方面的挑战,以确保人工智能促进包容性,而不是加剧差距。GDPR等监管框架提供了基本保护,但需要进一步调整,以管理人工智能在医学中不断扩大的作用。这种数字辅助预防医学有可能重新定义患者与提供者的互动,提高医疗保健效率,并促进主动健康管理。然而,实现这一愿景需要涉及卫生专业人员、政策制定者和技术开发人员的多学科方法。未来的研究应集中在监管策略、数字素养和道德人工智能实施上,以平衡创新与公平,确保数字医疗始终以患者为中心,具有包容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The doctor and patient of tomorrow: exploring the intersection of artificial intelligence, preventive medicine, and ethical challenges in future healthcare.

Artificial intelligence (AI) 's rapid integration into healthcare transforms medical decision-making, preventive strategies, and patient engagement. AI-driven technologies, including real-time health monitoring and predictive analytics, offer new personalized preventive care possibilities. However, concerns regarding ethical implications, data security, and equitable access remain unresolved. This paper addresses the critical gap in AI integration in preventive healthcare, highlighting statistical evidence of its impact. It also explores the intersection of AI, preventive medicine, and ethical challenges in future healthcare, envisioning the evolving roles of physicians and patients in an AI-integrated ecosystem. A fictional case study projected for 2040, illustrating an entirely digitized, AI-supported healthcare system, frames the discussion about digital health technologies, privacy regulations, and AI's ethical implications in the future of preventive medicine. Digital health interventions powered by AI will facilitate real-time preventive strategies, strengthen patient autonomy, and enhance precision medicine. However, algorithmic bias, data privacy, and healthcare equity challenges must be addressed to ensure AI fosters inclusivity rather than exacerbating disparities. Regulatory frameworks, such as GDPR, provide foundational protections, but further adaptations are required to govern AI's expanding role in medicine. This digital-assisted preventive medicine has the potential to redefine patient-provider interactions, enhance healthcare efficiency, and promote proactive health management. However, achieving this vision requires a multidisciplinary approach involving health professionals, policymakers, and technology developers. Future research should focus on regulatory strategies, digital literacy, and ethical AI implementation to balance innovation with equity, ensuring that digital healthcare remains patient-centered and inclusive.

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CiteScore
4.20
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