Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Impact of AI Acceleration on Image Quality and Diagnostic Quality in Clinical Paediatric Neuroimaging
0
Zitationen
8
Autoren
2025
Jahr
Abstract
Motivation: Accelerated imaging can significantly reduce scan duration, but the impact on image and diagnostic quality must be evaluated before confident deployment in a clinical paediatric workflow. Goal(s): Assess the impact of accelerated techniques on image and diagnostic quality of paediatric brain scans. Approach: 16 paediatric patients underwent routine and accelerated neuroimaging in a tertiary paediatric centre. Two experienced neuroradiologists and a radiology resident blindly scored each set of images for image quality across multiple brain regions and assessed overall diagnostic quality. Results: Routine and accelerated images received comparable image quality scores, but there was disagreement between radiologists over which provided better diagnostic quality. Impact: Accelerated imaging techniques can be used to significantly reduce scan times in paediatric brain imaging whilst maintaining image quality, supporting confident clinical deployment.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.