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作 者:赵轩莹 ZHAO Xuanying(Xinjiang University of Finance&Economics,Urumqi,Xinjiang 830012,China)
出 处:《医学与法学》2025年第2期41-46,共6页Medicine and Jurisprudence
摘 要:AI医学诊疗具备扩展患者知情途径、畅通医患交流、克服医生潜在主观偏见、丰富数据库存储等突出优势,但其所具有的算法黑箱属性也对传统知情同意原则所涉及的医方告知义务提出了新要求和带来新挑战;为保障AI医学诊疗背景下患者知情同意权得以真正实现,法律在积极回应技术革新时要具有一定程度的前瞻性,需要审视AI医学诊疗给知情同意临床实践所带来的双重影响,并从多途径应对算法黑箱难题、把控数据质量、扩展医生告知内容、维护医方诊疗主体地位进而克服其消极影响。AI medical diagnosis and treatment has outstanding advantages such as expanding patients'informed channels,smoothing doctor-patient communication,overcoming doctors'potential subjective biases,and enriching database storage.However,its algorithm-black box attribute also poses new requirements and challenges to the obligation of doctors to inform in the traditional principles of informed consent.In order to ensure the true realization of patients'right to informed consent in the context of AI medical diagnosis and treatment,the law should be forward-looking to a certain extent when actively responding to technological innovation,and it is necessary to examine the dual impact of AI medical diagnosis and treatment on the clinical practice of informed consent,and overcome its negative impact by dealing with the problem of algorithm black box,controlling the quality of data,expanding the content of doctors'information,and maintaining the main position of doctors'diagnosis and treatment.
分 类 号:D922.16[政治法律—宪法学与行政法学]
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