Background: Medical imaging is essential for the diagnosis of many pathologies such as
pneumonia, pneumothorax and lung cancer. Chest X-rays provide an accessible and cost …

Background and aims: Chest X-rays are widely used, non-invasive, cost effective imaging
tests. However, the complexity of interpretation and global shortage of radiologists have led …

Background: Chest X-rays are the most commonly performed, cost-effective diagnostic
imaging tests ordered by physicians. A clinically validated AI system that can reliably …

Abstract Background and Objectives Chest X-rays are the most commonly performed,
costeffective diagnostic imaging tests ordered by physicians. A clinically validated …

Chest radiography is the most common examination for a radiologist. This demands correct
and immediate diagnosis of a patient's thorax to avoid life threatening diseases. Not only …

The well-documented global shortage of radiologists is most acutely manifested in countries
where the rapid rise of a middle class has created a new capacity to produce imaging …

We investigated whether a convolutional neural network (CNN) can enhance the usability of
computer‐aided detection (CAD) of chest radiographs for various pulmonary abnormal …

Chest X-rays (CXRs) are among the most commonly used medical image modalities. They
are mostly used for screening, and an indication of disease typically results in subsequent …

The current artificial intelligence (AI) models are still insufficient in multi-disease diagnosis
for real-world data, which always present a long-tail distribution. To tackle this issue, a long …

Recent advances in training deep learning models have demonstrated the potential to
provide accurate chest X-ray interpretation and increase access to radiology expertise …