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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

This effect has been studied in Sumner and Alaeddini [35], in which neural networks already perform feature extraction throughout each present layer; this supportively evidences the reported results here, whereas (besides the small dataset) performing feature extraction beforehand may not provide enough information for the network to use its architecture to its fullest potential.

Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

JMIR Form Res 2025;9:e53928