Standardised evaluation and monitoring of site-specific AI performance with physical CT phantoms

Abstract excerpt

Artificial intelligence (AI) applications in computed tomography (CT) imaging require objective and continuous testing, yet standardised methods for this purpose have not been established. Here, we present a framework using physical phantoms for standardised testing and monitoring of AI, demonstrated in liver lesion detection. We begin by designing phantoms tailored to the anatomical input domain expected by AI al...

Topics

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• Artificial Intelligence
• Computed Tomography Angiography
• Coronary Stenosis
• Coronary Vessels
• Diagnosis, Computer-Assisted
• Machine Learning
• Mutation
• Neoplasms

Identifiers and source

Literature Corpus work

5a6e365e-58e9-5cf8-9d0c-7f43092140ea

DOI

10.64898/2026.07.01.26357033