Article

AUTOMATION AND RELIABILITY IN ENDOVASCULAR IMAGING: A FRAMEWORK FOR AI-AUGMENTED QUANTITATIVE ANGIOGRAPHY

2025-10-24

Abstract excerpt

Endovascular imaging has evolved into a cornerstone of diagnostic and interventional medicine, yet quantitative angiography-the principal method for assessing vessel morphology and hemodynamic characteristics-continues to face challenges related to manual interpretation, projection errors, and operator-dependent variability. These limitations not only reduce diagnostic precision but also restrict the standardizati...

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Literature Corpus work: 7d3e694f-ac6d-5f80-b400-5e6e0e55f8c1
DOI: 10.22541/au.176132815.55027267/v1

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