AI-based analysis of radiologist’s eye movements for fatigue estimation: a pilot study on chest X-rays-Reference-Cited by-同舟云学术

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AI-based analysis of radiologist’s eye movements for fatigue estimation: a pilot study on chest X-rays

Published:2022-04-04 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment
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Author:

Pershin Ilya,Kholiavchenko Maksim,Maksudov Bulat,Mustafaev Tamerlan,Ibragimov Bulat

Publisher

SPIE

Reference14 articles.

1. Interpretive Error in Radiology

2. Workload for radiologists during on-call hours: dramatic increase in the past 15 years

3. Rsna international trends: A global perspective on the covid-19 pandemic and radiology in late 2020;Bien;Radiology,2020

4. Analysis of Perceptual Expertise in Radiology – Current Knowledge and a New Perspective

5. Fatigue in radiology: a fertile area for future research

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review;IEEE Journal of Biomedical and Health Informatics;2024-06

2. Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning;European Journal of Radiology;2024-03

3. AI-Based Extraction of Radiologists Gaze Patterns Corresponding to Lung Regions;Intelligent Systems Design and Applications;2023

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