Background Chest radiograph interpretation is critical for the detection of thoracic diseases,
including tuberculosis and lung cancer, which affect millions of people worldwide each year. …

Background Magnetic resonance imaging (MRI) of the knee is the preferred method for
diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to …

Burn-induced coagulopathy is not well understood, and consensus on diagnosis, prevention,
and treatments are lacking. In this review, literature on burn-induced (and associated) …

We introduce MURA, a large dataset of musculoskeletal radiographs containing 40,561
images from 14,863 studies, where each study is manually labeled by radiologists as either …

Purpose To evaluate the performance of a deep learning convolutional neural network (CNN)
model compared with a traditional natural language processing (NLP) model in extracting …

Although mRNA and siRNA have significant therapeutic potential, their simultaneous delivery
has not been previously explored. To facilitate the treatment of diseases associated with …

The broadest clinical application of siRNA therapeutics will be facilitated by drug-loaded
delivery systems that maintain stability and potency for long times under ambient conditions. In …

Importance Deep learning has the potential to augment clinician performance in medical
imaging interpretation and reduce time to diagnosis through automated segmentation. Few …

Artificial intelligence (AI) algorithms continue to rival human performance on a variety of clinical
tasks, while their actual impact on human diagnosticians, when incorporated into clinical …

… This article was written with LCDR Randy Ball, DC, USN while he was a resident at the
University of Washington training in endodontics. The views expressed in this article are those of …