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

BackgroundPerception-related errors comprise most diagnostic mistakes in radiology. To mitigate this problem, radiologists use personalized and high-dimensional visual search strategies, otherwise known as search patterns. Qualitative descriptions of these search patterns, wh...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: JMIR Publications 2025-01-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2025/1/e53928
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