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
Article Authors Cited by Tweetations Metrics

Stanford Martinez   1 , PhD ;   Carolina Ramirez-Tamayo   1 , MSc ;   Syed Hasib Akhter Faruqui   2 , PhD ;   Kal Clark   3 , MD ;   Adel Alaeddini   4 , PhD ;   Nicholas Czarnek   5 , PhD ;   Aarushi Aggarwal   3 , MD ;   Sahra Emamzadeh   3 , MD, MPH ;   Jeffrey R Mock   6 , PhD ;   Edward J Golob   6 , PhD

1 Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX, United States

2 Department of Engineering Technology, Sam Houston State University, Huntsville, TX, United States

3 Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States

4 Department of Mechanical Engineering, Southern Methodist University, Dallas, TX, United States

5 Independent Researcher, Anaheim, CA, United States

6 Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, United States

Corresponding Author:

  • Adel Alaeddini, PhD
  • Department of Mechanical Engineering
  • Southern Methodist University
  • 3101 Dyer Street
  • Dallas, TX, 75205
  • United States
  • Phone: 1 214-768-3050
  • Email: aalaeddini@smu.edu