人工智能应用于阿尔茨海默病影像诊断中的伦理审视OA北大核心
Ethical examination of artificial intelligence application in Alzheimer's disease imaging diagnosis
阿尔茨海默病是一种进行性发展的致死性神经退行性疾病,其临床表现为逐渐进展的认知和记忆功能下降、语言和视空间障碍等,至今仍无法治愈和逆转.在临床中阿尔茨海默病通常面临确诊不及时的可能,给阿尔茨海默病的早期干预造成了困难,因此提高诊断效率,帮助患者尽早确诊阿尔茨海默病尤为重要.随着人工智能技术的不断发展,其在阿尔茨海默病影像诊断中的应用显示出巨大潜力,但同时伴随着诸多伦理问题.通过探讨人工智能在阿尔茨海默病影像诊断研究及应用中带来的数据安全、可解释性、算法歧视以及偶然发现的披露等伦理挑战,并提出相应对策,以期为人工智能应用于医学影像诊断提供一定伦理指引,保护研究参与者/患者的权益,推动技术的健康发展.
Alzheimer's disease is a progressive,fatal,and neurodegenerative disease,clinically characterized by gradually developed cognitive and memory function decline,language and visuospatial disorders,and other aspects.It remains incurable and irreversible to date.In clinical settings,Alzheimer's disease usually faces the possibility of untimely diagnosis,causing difficulties in the early intervention of the disease.Thus,it is essential to improve diagnostic efficiency and help patients diagnose Alzheimer's disease as early as possible.With the continuous development of artificial intelligence(AI)technology,its application in Alzheimer's disease imaging diagnosis has shown great potential.Meanwhile,it is also accompanied by many ethical issues.By exploring the ethical challenges brought by AI in the research and application of Alzheimer's disease imaging diagnosis,such as data security,interpretability,algorithmic discrimination,and disclosure of incidental findings,the paper proposed the corresponding countermeasures,with a view to providing certain ethical guidance for the AI application in medical imaging diagnosis,protecting the rights and interests of subjects/patients,and promoting the healthy development of technology.
闫佳佳;寇楠楠
首都医科大学医学人文学院,北京 100069首都医科大学医学人文学院,北京 100069
人工智能阿尔茨海默病数据算法可解释性伦理审视
artificial intelligenceAlzheimer's diseasedataalgorithminterpretabilityethical examination
《中国医学伦理学》 2025 (2)
179-186,8
北京市社会科学基金项目"神经伦理学视域中的神经安全问题研究"(23ZXC011)
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