Extracting decision-making features from the unstructured eye movements of clinicians on glaucoma OCT reports and developing AI models to classify expertise

This study aimed to investigate the eye movement patterns of ophthalmologists with varying expertise levels during the assessment of optical coherence tomography (OCT) reports for glaucoma detection. Objectives included evaluating eye gaze metrics and patterns as a function of ophthalmic education,...

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Bibliographic Details

Published in:	Frontiers in Medicine
Main Authors:	Michelle Akerman, Sanmati Choudhary, Jeffrey M. Liebmann, George A. Cioffi, Royce W. S. Chen, Kaveri A. Thakoor
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Subjects:	eye-tracking fixations optical coherence tomography glaucoma unsupervised clustering neural networks
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1251183/full