Eye-tracking biomarkers of clinical expertise in ECG interpretation: statistical and machine learning evidence

Eye-tracking parameters differentiated levels of ECG interpretation expertise. These results suggest that gaze-derived metrics may serve as potential surrogate indicators that support assessment and training in medical education.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-02-13
DOI
https://doi.org/10.3389/fmed.2025.1704829
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

Eye-tracking biomarkers of clinical expertise in ECG interpretation: statistical and machine learning evidence

Eyad Talal Attar
Frontiers in Medicine
Gaze Tracking and Assistive Technology
article

Eye-tracking biomarkers of clinical expertise in ECG interpretation: statistical and machine learning evidence

Eyad Talal Attar
article en

Abstract

Eye-tracking parameters differentiated levels of ECG interpretation expertise. These results suggest that gaze-derived metrics may serve as potential surrogate indicators that support assessment and training in medical education.

Frontiers in MedicineVol. 12
King Abdulaziz University (SA)
King Abdulaziz University
Openalex Percentile: Top 61%
Gaze Tracking and Assistive Technology
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Eye-tracking biomarkers of clinical expertise in ECG interpretation: statistical and machine learning evidence — Eyad Talal Attar · Frontiers in Medicine (2026) | TGRS Research Map | TGRS