Inspecting digital imaging for primary diagnosis introduces perceptual and cognitive
demands for physicians tasked with interpreting visual medical information and arriving at …

Most accidents in the aviation, maritime, and construction industries are caused by human
error, which can be traced back to impaired mental performance and attention failure. In …

Breast cancer care is a leading area for development of artificial intelligence (AI), with
applications including screening and diagnosis, risk calculation, prognostication and clinical …

We developed a rich dataset of Chest X-Ray (CXR) images to assist investigators in artificial
intelligence. The data were collected using an eye-tracking system while a radiologist …

Eye tracking is increasingly being used in Educational Science and so has the interest of the
eye tracking community grown in this topic. In this paper we briefly introduce the discipline of …

Radiologists rely principally on visual inspection to detect, describe, and classify findings in
medical images. As most interpretive errors in radiology are perceptual in nature …

Attention is one of the most thoroughly investigated psychological phenomena, yet
skepticism about attention is widespread: we do not know what it is, it is too many things …

In this work, we present RadioTransformer, a novel student-teacher transformer framework,
that leverages radiologists' gaze patterns and models their visuo-cognitive behavior for …

Given the current state of medical artificial intelligence (AI) and perceptions towards it,
collaborative systems are becoming the preferred choice for clinical workflows. This work …

In the field of medical image perception, the holistic processing perspective contends that
experts can rapidly extract global information about the image, which can be used to guide …