Article

Development and validation of a deep learning model for the automated detection of vertebral artery calcification on non-contrast head-and-neck computed tomography

2026-03-17

Abstract excerpt

<h4>Background</h4> Vertebral artery calcification (VAC), a critical indicator of cerebrovascular disease, is often overlooked in head-and-neck imaging. Manual detection is time-consuming and prone to inter-observer variability. This study aimed to develop and validate a deep learning model for automated detection and quantitative risk assessment of VAC in non-contrast head-and-neck computed tomography (CT) image...

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Literature Corpus work: fb78e5cc-3df2-59ad-bb3a-0e6fe06551bf
DOI: 10.64898/2026.03.15.26348421

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