X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the
global population lacks access to this essential technology due to a shortage of trained …

Machine learning (ML) has revolutionized medical image-based diagnostics. In this review,
we cover a rapidly emerging field that can be potentially significantly impacted by ML–eye …

The workload of some radiologists increased dramatically in the last several, which resulted
in a potentially reduced quality of diagnosis. It was demonstrated that diagnostic accuracy of …

The examination of ocular movements has a wide range of applications due to the current
developments in sensors that are now able to collect this biometric. This type of investigation …

Previous studies have shown that there is a strong correlation between radiologists'
diagnoses and their gaze when reading medical images. The extent to which gaze is …

Eye gaze interfaces are an emerging technology that allows users to control graphical user
interfaces (GUIs) simply by looking at them. However, using gaze-controlled GUIs can be a …

The increase in medical imaging and, consequently, the growing workload of radiologists
requires workflow optimization. The interaction between radiologists and artificial …

Radiology offers a presumptive diagnosis. The etiology of radiological errors are prevalent,
recurrent, and multi-factorial. The pseudo-diagnostic conclusions can arise from varying …

Eye-gaze tracking research offers significant promise in enhancing various healthcare-
related tasks, above all in medical image analysis and interpretation. Eye tracking, a …

Perceptual errors in radiography account for most errors encountered while scanning Chest
X-rays, leading to most misdiagnosed. In this scenario, radiologists train themselves in such …