Prediction of radiological decision errors from longitudinal analysis of gaze and image features

Medical imaging, particularly radiography, is an indispensable part of diagnosing many chest diseases. Final diagnoses are made by radiologists based on images, but the decision-making process is always associated with a risk of incorrect interpretation. Incorrectly interpreted data can lead to dela...

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Veröffentlicht in:	Artificial intelligence in medicine 2025-02, Vol.160, p.103051, Article 103051
Hauptverfasser:	Anikina, Anna, Ibragimova, Diliara, Mustafaev, Tamerlan, Mello-Thoms, Claudia, Ibragimov, Bulat
Format:	Artikel
Sprache:	eng
Schlagworte:	Eye-tracking Gaze tracking Machine learning Recurrent neural network X-rays images
Online-Zugang:	Volltext
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