Reading the Reader: Utilizing Eye Movements and Machine Learning to Enhance Accuracy during Diagnostic Visual Search

Gregory J. DiGirolamo; Federico Sorcini; Leo Joskowicz; Yakir Winograd; Assaf Hoog; Max P. Rosen

doi:10.1201/9781003449942-12

Reading the Reader: Utilizing Eye Movements and Machine Learning to Enhance Accuracy during Diagnostic Visual Search

Gregory J. DiGirolamo^*, Federico Sorcini, Leo Joskowicz, Yakir Winograd, Assaf Hoog, Max P. Rosen

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Original language	English
Title of host publication	Cancer Detection and Diagnosis
Subtitle of host publication	A Handbook of Emerging Technologies
Publisher	CRC Press
Pages	92-102
Number of pages	11
ISBN (Electronic)	9781040368640
ISBN (Print)	9781032577012
DOIs	https://doi.org/10.1201/9781003449942-12
State	Published - 21 Aug 2025

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10.1201/9781003449942-12

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Reading the Reader: Utilizing Eye Movements and Machine Learning to Enhance Accuracy during Diagnostic Visual Search. / DiGirolamo, Gregory J.; Sorcini, Federico; Joskowicz, Leo et al.
Cancer Detection and Diagnosis: A Handbook of Emerging Technologies. CRC Press, 2025. p. 92-102.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Rosen, Max P.

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Reading the Reader: Utilizing Eye Movements and Machine Learning to Enhance Accuracy during Diagnostic Visual Search

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