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Nodine, C.F., Krupinski, E.A. and Kundel, H.L. (1990) A Perceptually-Based Algorithm Provides Effective Visual Feedback to Radiologists Searching for Lung Nodules. Visualization in Biomedical Computing, 1990, Proceedings of the First Conference on IEEE, Atlanta, GA, USA, 22-25 May 1990, 202-207.

has been cited by the following article:

• TITLE: Radiological Errors: Implications and Causes with a Focus on Mammographic Misdiagnosis

  AUTHORS: Mohammad Rawashdeh, Sarah Lewis, Patrick Brennan

  KEYWORDS: Radiological Errors, Radiologists, Breast Cancer, Radiologists’ Performance

  JOURNAL NAME: Open Journal of Medical Imaging, Vol.9 No.1, March 31, 2019

  ABSTRACT: Radiological diagnostic errors may have serious clinical and medico-legal implications. Previous work has reported that radiology has a reasonable incidence of error, a number of which are resulted from observer mistakes. The radiologists’ interaction with the image is critical, and studying the types of diagnostic errors to improve patient and radiologist wellbeing, reduce cost and improve the public perception of the health care system is well justified. Therefore, the aim of current review is to consider the primary types of diagnostic errors in radiology, as well as their causes and implications with a focus on mammographic misdiagnosis.