Eye-Tracking, Mouse Tracking, Stimulus Tracking,and Decision-Making Datasets in Digital Pathology
PositiveArtificial Intelligence
A new dataset called PathoGaze1.0 has been introduced to enhance the understanding of diagnostic errors in digital pathology. This dataset captures the visual attention of pathologists as they interpret giga-pixel whole-slide images, which is crucial since their diagnostic accuracy averages around 70%. By providing insights into how pathologists make decisions, PathoGaze1.0 aims to improve consistency and accuracy in diagnoses, ultimately benefiting patient care and advancing the field of pathology.
— Curated by the World Pulse Now AI Editorial System


