Research has not yet quantified the effects of workload or duty hours on the accuracy of
radiologists. With the exception of a brief reduction in imaging studies during the 2020 peak …

OBJECTIVE. Although imaging technology has advanced significantly since the work of
Garland in 1949, interpretive error rates remain unchanged. In addition to patient harm …

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 …

Eye tracking research has been conducted for decades to gain understanding of visual
diagnosis such as in radiology. For educational purposes, it is important to identify visual …

The development and commercialisation of medical decision systems based on artificial
intelligence (AI) far outpaces our understanding of their value for clinicians. Although …

The way the cognitive system scans the visual environment for relevant information–visual
search in short–has been a long-standing central topic in vision science. From its inception …

Post-mortem MR (PMMR) imaging is a powerful diagnostic tool with a wide scope in forensic
radiology. In the past 20 years, PMMR has been used as both an adjunct and an alternative …

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 …

Users of artificial intelligence (AI) can become overreliant on AI, negatively affecting the
performance of human-AI teams. For a future in which radiologists use interpretive AI tools …

Learning harmful shortcuts such as spurious correlations and biases prevents deep neural
networks from learning meaningful and useful representations, thus jeopardizing the …