Eye tracking has been used for decades in attempt to understand the cognitive processes of individuals. From memory access to problem-solving to decision-making, such insight has the potential to improve workflows and the education of students to become experts in relevant fields. Until recently, the traditional use of microscopes in pathology made eye tracking exceptionally difficult. However, the digital revolution of pathology from conventional microscopes to digital whole slide images allows for new research to be conducted and information to be learned with regards to pathologist visual search patterns and learning experiences. This has the promise to make pathology education more efficient and engaging, ultimately creating stronger and more proficient generations of pathologists to come. The goal of this review on eye tracking in pathology is to characterize and compare the visual search patterns of pathologists. The PubMed and Web of Science databases were searched using 'pathology' AND 'eye tracking' synonyms. A total of 22 relevant full-text articles published up to and including 2023 were identified and included in this review. Thematic analysis was conducted to organize each study into one or more of the 10 themes identified to characterize the visual search patterns of pathologists: (1) effect of experience, (2) fixations, (3) zooming, (4) panning, (5) saccades, (6) pupil diameter, (7) interpretation time, (8) strategies, (9) machine learning, and (10) education. Expert pathologists were found to have higher diagnostic accuracy, fewer fixations, and shorter interpretation times than pathologists with less experience. Further, literature on eye tracking in pathology indicates that there are several visual strategies for diagnostic interpretation of digital pathology images, but no evidence of a superior strategy exists. The educational implications of eye tracking in pathology have also been explored but the effect of teaching novices how to search as an expert remains unclear. In this article, the main challenges and prospects of eye tracking in pathology are briefly discussed along with their implications to the field.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11168484 | PMC |
http://dx.doi.org/10.1016/j.jpi.2024.100383 | DOI Listing |
Data Brief
December 2024
Department of Neurophysics, Philipps University Marburg, Karl-von-Frisch Straße 8a, 35043 Marburg, Hesse, Germany.
We present a comprehensive dataset comprising head- and eye-centred video recordings from human participants performing a search task in a variety of Virtual Reality (VR) environments. Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives.
View Article and Find Full Text PDFCNS Spectr
January 2025
ETSIDI-Center for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.
J Autism Dev Disord
January 2025
School of Foreign Languages and Cultures, Chongqing University, Chongqing, China.
The present study aims to fill the research gap by evaluating published empirical studies and answering the specific research question: Can individuals with autism spectrum disorder (ASD) predict upcoming linguistic information during real-time language comprehension? Following the PRISMA framework, an initial search via PubMed, Web of Science, SCOPUS, and Google Scholar yielded a total of 697 records. After screening the abstract and full text, 10 studies, covering 350 children and adolescents with ASD ranging from 2 to 15 years old, were included for analysis. We found that individuals with ASD may predict the upcoming linguistic information by using verb semantics but not pragmatic prosody during language comprehension.
View Article and Find Full Text PDFEye (Lond)
January 2025
Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Objectives: To use finite element (FE) modeling and in vivo optical coherence tomography (OCT) imaging to explore the effect of ciliary muscle traction on optic nerve head (ONH) deformation during accommodation.
Methods: We developed a FE model to mimic the ciliary muscle traction during accommodation, and varied the stiffness of the sclera, choroid, Bruch's membrane (BM), prelaminar neural tissue and lamina cribrosa (LC) to assess their effects on accommodation-induced ONH strains. To validate the FE model, OCT images of the right eyes' ONHs from 20 subjects (25 ± 1.
Accid Anal Prev
January 2025
Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India. Electronic address:
Pedestrians use visual cues (i.e., gaze) to communicate with the other road users, and visual attention towards the surrounding environment is essential to be situationally aware and avoid oncoming conflicts.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!