Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study

Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess the applicability and utility of an AI-based model for brain aneurysm detection comparing the performance of two readers...

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Bibliographic Details
Main Authors: Tommaso Di Noto, Sofyan Jankowski, Francesco Puccinelli, Guillaume Marie, Sebastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Ricardo Corredor-Jerez, Guillaume Saliou, Patric Hagmann, Meritxell Bach Cuadra, Jonas Richiardi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:NeuroImage: Clinical
Subjects:
Aneurysm detection
AI-assistance
Time-of-flight magnetic resonance angiography
CAD integration
Within-subject analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158225001056
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http://www.sciencedirect.com/science/article/pii/S2213158225001056

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