Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Radiology, Northwestern Memorial Hospital, Chicago, Illinois.
Acad Radiol. 2019 Jun;26(6):833-845. doi: 10.1016/j.acra.2018.11.006. Epub 2018 Dec 14.
Interpretation of increasingly complex imaging studies involves multiple intricate tasks requiring visual evaluation, cognitive processing, and decision-making. At each stage of this process, there are opportunities for error due to human factors including perceptual and ergonomic conditions. Investigation into the root causes of interpretive error in radiology first began over a century ago. In more recent work, there has been increasing recognition of the limits of human image perception and other human factors and greater acknowledgement of the role of the radiologist's environment in increasing the risk of error. This article reviews the state of research on perceptual and interpretive error in radiology. This article focuses on avenues for further error examination, and strategies for mitigating these errors are discussed. The relationship between artificial intelligence and interpretive error is also considered.
对日益复杂的影像学研究的解读涉及多项复杂的任务，需要进行视觉评估、认知处理和决策。在这个过程的每个阶段，由于人类因素（包括感知和人体工程学条件），都有可能出现错误。对放射学中解释错误的根本原因的研究早在一个多世纪前就已经开始。在最近的工作中，人们越来越认识到人类图像感知和其他人为因素的局限性，以及放射科医生的工作环境在增加错误风险方面的作用。本文回顾了放射学中感知和解释错误的研究现状。本文重点介绍了进一步检查错误的途径，并讨论了减轻这些错误的策略。还考虑了人工智能与解释错误之间的关系。
