启发式
直觉
经验法则
认知
计算机科学
域特异性
优势和劣势
认知心理学
人工智能
心理学
认知科学
管理科学
数据科学
社会心理学
算法
神经科学
经济
操作系统
作者
Sohil H. Patel,Jason N. Itri
标识
DOI:10.1016/j.jacr.2022.02.027
摘要
The decision making involved in radiologic interpretation entails distinct cognitive pathways. On one side is analytic reasoning, which represents a deliberate, stepwise process integrating discrete data to formulate an interpretation, in which a range of diagnostic possibilities are directly compared. On the other side is intuition, which represents an automatic, rapid, and holistic form of decision making that generates an interpretation absent the sequential processing of data and direct comparison of possibilities. Nonexpert intuitive cognition often reflects domain-independent heuristics (ie, mental rules of thumb) that are often effective but prone to bias and systematic error. In contrast, expert intuition reflects the domain-specific skills developed among highly experienced practitioners who have gained deep knowledge in a given task domain from extensive practice and feedback. In this article, the authors define intuitive cognition, show evidence for its pervasive use among experts in a variety of fields, and explain its strengths and weaknesses relative to deliberate reasoning. Developing expert intuition requires the opportunity to learn from reliable feedback, and the authors describe various measures that can be used by radiology departments to foster such opportunities. Finally, the authors discuss implications for diagnostic performance and error reduction in clinical radiology.
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