Respiratory symptoms are among the most common chief complaints of pediatric patients in the emergency department (ED). Point‐of‐care ultrasound (POCUS) outperforms conventional chest X‐ray and is user‐dependent, which can be… Click to show full abstract
Respiratory symptoms are among the most common chief complaints of pediatric patients in the emergency department (ED). Point‐of‐care ultrasound (POCUS) outperforms conventional chest X‐ray and is user‐dependent, which can be challenging to novice ultrasound (US) users. We introduce a novel concept using artificial intelligence (AI)‐enhanced pleural sweep to generate complete panoramic views of the lungs, and then assess its accuracy among novice learners (NLs) to identify pneumonia.
               
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