本论文聚焦于医疗人工智能领域，剖析算法应用过程中面临的伦理困境。通过对医疗人工智能算法在数据隐私、算法偏见、责任归属、自主决策等方面的伦理问题分析，揭示技术发展与伦理规范之间的矛盾冲突。基于此，从价值重构角度出发，提出强化医生主体地位、完善技术伦理审查机制、重塑人机协同价值理念等路径，旨在实现医疗人工智能技术创新与伦理规范的动态平衡，推动医疗人工智能健康、可持续发展。

This thesis focuses on the field of medical artificial intelligence (AI), analyzing the ethical dilemmas faced in the application of algorithms. By examining ethical issues related to data privacy, algorithmic bias, accountability, and autonomous decision-making in medical AI systems, the study reveals the conflicts between technological advancement and ethical regulation. Based on this analysis, the paper proposes pathways for value reconstruction, including reinforcing the central role of physicians, improving ethical review mechanisms for technology, and reshaping the value framework of human-machine collaboration. The goal is to achieve a dynamic balance between technological innovation and ethical standards in medical AI, promoting its healthy and sustainable development.