Due to its widespread availability, low cost, feasibility at the patient's bedside and
accessibility even in low-resource settings, chest X-ray is one of the most requested …

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Artificial intelligence (AI) is poised to change much about the way we practice radiology in
the near future. The power of AI tools has the potential to offer substantial benefit to patients …

Artificial intelligence has become a ubiquitous term in radiology over the past several years,
and much attention has been given to applications that aid radiologists in the detection of …

Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …

Importance Chest radiography is the most common diagnostic imaging examination
performed in emergency departments (EDs). Augmenting clinicians with automated …

AIM To evaluate the role that artificial intelligence (AI) could play in assisting radiologists as
the first reader of chest radiographs (CXRs), to increase the accuracy and efficiency of lung …

Importance The efficient and accurate interpretation of radiologic images is paramount.
Objective To evaluate whether a deep learning–based artificial intelligence (AI) engine used …

Much attention has been given to machine learning and its perceived impact in radiology,
particularly in light of recent success with image classification in international competitions …

The clinical deployment of artificial intelligence (AI) applications in medical imaging is
perhaps the greatest challenge facing radiology in the next decade. One of the main …