Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reliability and anthropometric influence of a new Light-Based Reactive Agility Wall Test in basketball.

The Journal of sports medicine and physical fitness·2026
Same author

Relationship Between Balance Automaticity and Dual-Task Interference in Older Adults.

Motor control·2025
Same author

Machine Learning-Enhanced Prognostic Modeling in Elderly Glioblastoma Isocitrate Dehydrogenase-Wildtype: A Multidimensional Single-Center Cohort Study.

World neurosurgery·2025
Same author

New developments at human movement science: Shaping the future.

Human movement science·2025
Same author

Grit subcomponents are differentially associated with practice trajectories underlying expertise development.

Scientific reports·2025
Same author

Correction to: Motor network pre-habilitation by low-frequency repetitive transcranial magnetic stimulation. A proof-of-concept.

Acta neurochirurgica·2025
Same journal

Comparison of chest X-ray radiography AI model to comorbidities for predicting intensive care unit admission for COVID-19.

Journal of medical imaging (Bellingham, Wash.)·2026
Same journal

Literature Reviews After AI.

Journal of medical imaging (Bellingham, Wash.)·2026
Same journal

Illustration of transfer learning from breast cancer detection to risk prediction: adaptation to local data and local objectives.

Journal of medical imaging (Bellingham, Wash.)·2026
Same journal

RadGazeGen: radiomics and gaze-guided chest X-ray generation using diffusion models.

Journal of medical imaging (Bellingham, Wash.)·2026
Same journal

DDARes-U<sup>2</sup>Net: a dual-decoder adversarial residual U<sup>2</sup>Net algorithm for segmentation of COVID-19 pneumonia lesions.

Journal of medical imaging (Bellingham, Wash.)·2026
Same journal

High-speed optical tracking and augmented reality platform for image-guided interventions.

Journal of medical imaging (Bellingham, Wash.)·2026
See all related articles

Related Experiment Video

Updated: Nov 12, 2025

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

8.1K

Training focal lung pathology detection using an eye movement modeling example.

Stephanie Brams1, Gal Ziv2, Ignace Tc Hooge3

  • 1KU Leuven, Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, Leuven, Belgium.

Journal of Medical Imaging (Bellingham, Wash.)
|March 18, 2021
PubMed
Summary
This summary is machine-generated.

Eye movement modeling example (EMME) training did not improve chest x-ray interpretation beyond feedback alone. Repetitive exposure to pathologies enhanced pattern recognition and visual search efficiency for all groups.

Keywords:
image analysisinformation processingmedical imagingpattern recognitionvisionx-ray

More Related Videos

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

859
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

672

Related Experiment Videos

Last Updated: Nov 12, 2025

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

8.1K
Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

859
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

672

Area of Science:

  • Radiology
  • Medical Education
  • Human Factors Engineering

Background:

  • Nonoptimal visual search behavior is linked to missed findings (false negatives) in chest x-ray interpretation.
  • Eye movement modeling example (EMME) interventions aim to improve visual search strategies and diagnostic accuracy.

Purpose of the Study:

  • To evaluate the effectiveness of two EMME-based training interventions compared to a control group for detecting focal lung pathology on chest x-rays.
  • To assess if EMME training offers additional benefits over simple feedback on pathology location.

Main Methods:

  • Chest x-ray interpretation performance was assessed before and after training.
  • Two EMME groups (spotlight, circle) viewed visual search models; a control group received location feedback.
  • All groups underwent post-tests to evaluate detection sensitivity, specificity, and visual search efficiency.

Main Results:

  • All groups showed improved detection sensitivity and specificity, suggesting pattern recognition enhanced by feedback.
  • Visual search strategies became more efficient across all groups post-intervention.
  • No significant additional benefit was observed for the EMME training groups compared to the control group.

Conclusions:

  • Repetitive exposure and feedback in lung pathology detection tasks improve overall performance.
  • Specific EMME training interventions did not provide further advantages over feedback alone.
  • Online EMME training formats warrant investigation for feasibility, reproducibility, and potential reduction of false negatives, particularly for novices.