智能医学算法决策的伦理困境及风险规制

智能医学呈现出难追溯性、不公平性、过程难以理解性、结果不确定性和数据驱动性的技术特征。上述特征与诊疗场景特性的融合交叠可能诱发医生主体地位被削弱、医患信任危机、医疗资源分配不均加剧以及诊疗结果不确定性增加等风险。为有效防范智能算法的决策风险，在智能医学应用中必须遵循以强化医生主体地位为根本出发点，以降低医患信任危机为主导，以平衡资源分配为方向和以增加诊疗结果确定性为目标的伦理规制。

Ethical Dilemma and Risk Regulation of Algorithmic Decision-making in Intelligent Medicine

Intelligent medicine is usually hard to be traced, unfair, difficult to be fully understood, uncertain in results and data-driven. The combination of the above features and medical scenarios may weaken doctors' subject position, trigger doctor-patient trust crisis, aggravate uneven distribution of medical resources, and increase the uncertainty of diagnosis and treatment results. In order to effectively prevent the decision-making risk of intelligent algorithm, the ethical norms must be followed in the application of intelligent medicine, strengthening subject position of doctors, relieving doctors-patients trust crisis, balancing resource allocation and increasing the certainty of diagnosis and treatment results.