This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2691) New Methods (1005) Imaging Informatics (215) Machine Learning (1630) Computer-Aided Diagnosis (163)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53928, first published .
Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study

Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study

Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study

Authors of this article:

Stanford Martinez1 Author Orcid Image ;   Carolina Ramirez-Tamayo1 Author Orcid Image ;   Syed Hasib Akhter Faruqui2 Author Orcid Image ;   Kal Clark3 Author Orcid Image ;   Adel Alaeddini4 Author Orcid Image ;   Nicholas Czarnek5 Author Orcid Image ;   Aarushi Aggarwal3 Author Orcid Image ;   Sahra Emamzadeh3 Author Orcid Image ;   Jeffrey R Mock6 Author Orcid Image ;   Edward J Golob6 Author Orcid Image
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