PDF(Pubmed)
Abstract：
This perspective paper provides a comprehensive examination of artificial intelligence (AI) in healthcare, focusing on its transformative impact on clinical practices, decision-making, and physician-patient relationships. By integrating insights from evidence, research, and real-world examples, it offers a balanced analysis of AI\'s capabilities and limitations, emphasizing its role in streamlining administrative processes, enhancing patient care, and reducing physician burnout while maintaining a human-centric approach in medicine. The research underscores AI\'s capacity to augment clinical decision-making and improve patient interactions, but it also highlights the variable impact of AI in different healthcare settings. The need for context-specific adaptations and careful integration of AI technologies into existing healthcare workflows is emphasized to maximize benefits and minimize unintended consequences. Significant attention is given to the implications of AI on the roles and competencies of healthcare professionals. The emergence of AI necessitates new skills in data literacy and technology use, prompting a shift in educational curricula towards digital health and AI training. Ethical considerations are a pivotal aspect of the discussion. The paper explores the challenges posed by data privacy concerns, algorithmic biases, and ensuring equitable access to AI-driven healthcare. It advocates for the development of comprehensive ethical frameworks and ongoing research to guide the responsible use of AI in healthcare. Conclusively, the paper advocates for a balanced approach to AI adoption in healthcare, highlighting the importance of ongoing research, strategic implementation, and the synergistic combination of human expertise with AI technologies for optimal patient care.
摘要：
这篇透视论文全面考察了医疗保健中的人工智能(AI)，关注其对临床实践的变革性影响，决策,和医患关系。通过整合证据的见解，研究,和现实世界的例子，它对人工智能的能力和局限性进行了平衡分析，强调其在简化行政程序中的作用，加强病人护理，减少医生的倦怠，同时保持以人为中心的医学方法。这项研究强调了人工智能增强临床决策和改善患者互动的能力，但它也突出了人工智能在不同医疗保健环境中的可变影响。强调需要针对特定环境进行调整，并将AI技术仔细集成到现有的医疗保健工作流程中，以最大程度地提高收益并最大程度地减少意外后果。人工智能对医疗保健专业人员的角色和能力的影响得到了极大的关注。人工智能的出现需要数据素养和技术使用方面的新技能，促使教育课程向数字健康和人工智能培训转变。伦理考虑是讨论的一个关键方面。本文探讨了数据隐私问题带来的挑战，算法偏差，并确保公平获得人工智能驱动的医疗保健。它倡导开发全面的道德框架和正在进行的研究，以指导在医疗保健中负责任地使用人工智能。最后，这篇论文主张在医疗保健中采用一种平衡的人工智能方法，强调正在进行的研究的重要性，战略实施,以及人类专业知识与AI技术的协同结合，以实现最佳的患者护理。
