论文标题
医疗AI的三个幽灵:黑箱可以交付吗?
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?
论文作者
论文摘要
我们的头衔暗示了Ebenezer Scrooge在\ textit {圣诞节颂歌}遇到的三个圣诞节鬼魂,他们引导Ebenezer度过了过去,现在和未来的圣诞节假期活动。同样,我们的文章将带领读者进行医学AI的过去,现在和未来的旅程。在此过程中,我们专注于现代机器学习的症结:依赖强大但本质上不透明的模型。当应用于医疗领域时,这些模型无法满足其临床医生和患者最终用户所需的透明度的需求。我们回顾了这种失败的含义,并认为不透明的模型(1)缺乏质量保证,(2)无法引起信任,以及(3)限制医师患者对话。然后,我们讨论模型设计和模型验证各个方面的透明度如何有助于确保医疗AI的可靠性。
Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in \textit{A Christmas Carol}, who guide Ebenezer through the past, present, and future of Christmas holiday events. Similarly, our article will take readers through a journey of the past, present, and future of medical AI. In doing so, we focus on the crux of modern machine learning: the reliance on powerful but intrinsically opaque models. When applied to the healthcare domain, these models fail to meet the needs for transparency that their clinician and patient end-users require. We review the implications of this failure, and argue that opaque models (1) lack quality assurance, (2) fail to elicit trust, and (3) restrict physician-patient dialogue. We then discuss how upholding transparency in all aspects of model design and model validation can help ensure the reliability of medical AI.