Purpose To conduct a prospective observational study across 12 US hospitals to evaluate
real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 …

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 …

Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on
chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest …

Abstract Objectives When diagnosing Coronavirus disease 2019 (COVID‐19), radiologists
cannot make an accurate judgments because the image characteristics of COVID‐19 and …

While COVID-19 diagnosis and prognosis artificial intelligence models exist, very few can be
implemented for practical use given their high risk of bias. We aimed to develop a diagnosis …

Background Radiologists are proficient in differentiating between chest radiographs with
and without symptoms of pneumonia but have found it more challenging to differentiate …

Purpose To investigate the diagnostic performance of an Artificial Intelligence (AI) system for
detection of COVID-19 in chest radiographs (CXR), and compare results to those of …

Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
similar CT characteristics, which contributes to the challenges in differentiating them with …

Rationale and Objectives Radiographic findings of COVID-19 pneumonia can be used for
patient risk stratification; however, radiologist reporting of disease severity is inconsistent on …

Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …