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

To mitigate domain differences, we adapt the model using a diverse chest X-ray dataset. We evaluate DAViT on a real-world dataset of 5,856 chest X-rays. The results demonstrate that DAViT achieves ...

This systematic review aims to assess the risk of aspiration pneumonia in children with dysphagia with laryngeal penetration on VFSS/FEES and compare it with children with tracheal aspiration and ...

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The latter condition leads to gasping in the fetus and aspiration of infected amniotic fluid with resultant development of congenital pneumonia.

This paper proposes a novel method, called Deep Supervised Domain Adaptation (DSDA), to automatically diagnose pneumonia from chest X-ray images. Specifically, we propose to transfer the knowledge ...