Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Artificial intelligence (AI) continues to garner substantial interest in medical imaging. The
potential applications are vast and include the entirety of the medical imaging life cycle from …

Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …

Background Chest radiography may play an important role in triage for coronavirus disease
2019 (COVID-19), particularly in low-resource settings. Purpose To evaluate the …

Ventilator-associated pneumonia (VAP) affects up to 20% of critically ill patients and induces
significant antibiotic prescription pressure, accounting for half of all antibiotic use in the ICU …

Importance The improvement of pulmonary nodule detection, which is a challenging task
when using chest radiographs, may help to elevate the role of chest radiographs for the …

Background Automated interpretation of normal chest radiographs could alleviate the
workload of radiologists. However, the performance of such an artificial intelligence (AI) tool …

Shortly after deep learning algorithms were applied to Image Analysis, and more importantly
to medical imaging, their applications increased significantly to become a trend. Likewise …

Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in
trauma patients, which is also the key component for trauma survey. None of the currently …