A person has died of the pneumonic plague at the Flagstaff Medical Center in Arizona, according to Northern Arizona ...

Now, rising to the challenge, an Arizona State University team of researchers has built a powerful new AI tool, called Ark +, ...

Objective To assess the diagnostic accuracy of thermal imaging (TI) in the setting of focal consolidative pneumonia with chest X-ray (CXR) as the gold standard. Setting A large, 973-bed teaching ...

A new study in England shows a strong link between higher rates of chest x-ray referrals in general practice patients with symptoms, such as persistent cough, and earlier lung cancer diagnoses, along ...

Anomaly detection can significantly aid doctors in interpreting chest X-rays. The commonly used strategy involves utilizing the pre-trained network to extract features from normal data to establish ...

This paper presents a convolutional neural network (CNN) designed to automate pneumonia diagnosis from chest X-ray images, addressing the need for faster and more consistent diagnostic solutions. The ...

News • Improving radiology workflows AI weeds out unremarkable chest X-rays A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower ...

A chest X-ray does not directly show pulmonary embolism. However, it may help a doctor rule out health problems that cause similar symptoms.

Researchers developed an AI algorithm that automatically analyzes chest X-rays to rapidly detect COVID-19 infection with more than 98% accuracy, distinguishing between normal X-rays and X-rays ...

Introduction and Objectives The Southwest Lung Cancer Alliance introduced the Southwest CXR Reporting Tool (SW CXR RT) to help identify patients requiring reflex CT scans to streamline the first part ...

In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a new study.