Chest
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Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpretation errors resulting from commonly missed findings. Methods to reduce these errors are presented. ⋯ Artificial intelligence is among the emerging and promising methods to enhance detection of CXR abnormalities. Despite their potential adverse consequences, errors offer opportunities for continued education and quality improvements in patient care, if managed within a just, supportive culture.
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A 52-year-old White man, who currently smokes, was admitted to the medical ICU with worsening shortness of breath. The patient was dyspneic for a month and had been clinically diagnosed with COPD by his primary care doctor and started on bronchodilators and supplemental oxygen. He had no known medical history or recent illness. ⋯ He denied cough, fever, night sweats, or weight loss at the time of admission. There was no history of work-related or occupational exposures, drug intake, or recent travel. Review of systems was negative for arthralgia, myalgia, or skin rash.