AI-driven assessment of over-scanning in chest CT: A systematic review and meta-analysis

AI-driven assessment of over-scanning in chest CT: A systematic review and meta-analysis

Introduction: Scan range is crucial for CT acquisitions. However, irrelevant over-scanning in CT is common and contributes to a significant radiation dose. This review explores the role of artificial intelligence (AI) in addressing manual over-scanning in chest CT imaging. Methods: A systematic sear...

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Bibliographic Details
Main Authors: Mo’men Bani-Ahmad, Andrew England, Laura McLaughlin, Marwan Alshipli, Kholoud Alzyoud, Yasser H. Hadi, Mark McEntee
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:European Journal of Radiology Open
Subjects:
Quality control
Anatomic coverage
Scan range
Deep learning
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047725000413
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http://www.sciencedirect.com/science/article/pii/S2352047725000413

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