ArticleFrontiers in radiology2026
Application of AIIR algorithm for quality improvement and noise reduction in pediatric abdominal contrast-enhanced CT.
Article in Frontiers in radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate the feasibility and value of the deep learning full model iterative algorithm (AIIR) in reducing radiation dose during contrast-enhanced whole abdominal CT scans in children. Methods: Data from 100 pediatric patients undergoing contrast-enhanced whole abdominal CT scans due to clinical indications were retrospectively collected. The patients were divided into a conventional group ( Results: The experimental group exhibited significantly lower radiation dose compared to the conventional group (ED reduction by 23.61%, Conclusion: The AIIR algorithm achieves superior image quality at low dose levels (80 kVp) compared to conventional HIR and low-dose HIR protocols, demonstrating significant clinical value and potential for widespread application in pediatric abdominal imaging.
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