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 …

Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …

Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid
development. Its potential utility to improve diagnostic performance for cardiopulmonary …

In recent years, artificial intelligence (AI) technologies have greatly advanced and become a
reality in many areas of our daily lives. In the health care field, numerous efforts are being …

Background There has been an increasing trend toward pulmonary segmentectomies to
treat early-stage lung cancer, small intrapulmonary metastases, and localized benign …

Artificial intelligence (AI) applications for chest radiography and chest CT are among the
most developed applications in radiology. More than 40 certified AI products are available …

In recent years, there has been a dramatic increase in research papers about machine
learning (ML) and artificial intelligence in radiology. With so many papers around, it is of …

Generative artificial intelligence, especially with regard to the generative adversarial network
(GAN), is an important research area in radiology as evidenced by a number of literature …

Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …

Chest radiography is the standard and most affordable way to diagnose, analyze, and
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …