Inside the deadly disease confounding medicine, researchers piecing together clues and the breakthrough that meant survival ...
Abstract: In resource-constrained environments, efficient feature extraction is crucial for applications in classification and prediction tasks. This study investigates a fast, DFT-based, ...
This story is republished from STAT, the health and medicine news site that’s a partner to the Globe. Sign up for STAT’s free Morning Rounds newsletter here. Deepfake images can mislead viewers, upend ...
A UB research team is developing an artificial intelligence framework to improve the accuracy and clinical reliability of automated chest X-ray analysis used by radiologists. The method tackles a long ...
Performing chest x-ray as a first‑line test for clinically suspected community‑acquired pneumonia, independently of its result, reduced antibiotic initiation compared with no imaging, whereas ...
BUFFALO, N.Y. – A research team at the University at Buffalo is developing an artificial intelligence framework to improve the accuracy and clinical reliability of automated chest X-ray analysis used ...
Abstract: Chest X-ray (CXR) is the most frequently ordered imaging test, supporting diverse clinical tasks from thoracic disease detection to postoperative monitoring. However, task-specific ...