Introduction The substantial case detection gap in the field of child tuberculosis (TB) disease is largely driven by inadequate diagnostic tools and approaches. Chest radiographs (CXRs) remain a key ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, ...
ABSTRACT: Background: Computer-aided detection (CAD) software products are increasingly used as a tool to enhance the feasibility and accuracy of chest radiography interpretation. The research ...
Diaphragm position on neonatal bedside chest radiograph appeared to be a poor surrogate for aerated lung volume and expansion, with a weak correlation to CT scan calculations. Bedside chest radiograph ...
Researchers in Japan created an AI that can detect fatty liver disease from ordinary chest X-rays—an unexpected and low-cost method that could transform early diagnosis. The model proved highly ...
DLAAD-deep learning algorithms assisted diagnosis of chest disease using radiographic medical images
Introduction: Viral infections can cause pneumonia, which is difficult to diagnose using chest X-rays due to its similarities with other respiratory conditions. Current pneumonia diagnosis techniques ...
More than two-thirds of patients with negative chest X-ray results prescribed antibiotics. (HealthDay News) — Many general practitioners prescribe antibiotics for suspected community-acquired ...
Higher clinical severity was seen in patients with positive vs negative CR, with longer-lasting symptoms. (HealthDay News) — Many general practitioners prescribe antibiotics for suspected ...
Credit: Getty Images A 65-year-old White man is brought in by EMS for worsening shortness of breath over the previous 2 days, cough producing purulent sputum, and fever of 103°F. A 65-year-old White ...
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