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January 1, 2026Current Problems in Diagnostic Radiology

Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data

M. Biondi Eleonora Bortoli Rossella Avitabile Antonietta Bartoli Elena Busatti Antonio Tozzi A. Guasti

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Key Points

AI-based autopositioning significantly improves patient positioning accuracy in computed tomography, enhancing image quality.
In analyses with a dose monitoring system, 25% decrease in radiation exposure was observed during scans with AI assistance.
Assessment utilized exposure data from both conventional and AI-assisted computed tomography techniques across multiple facilities.
The findings emphasize the need for broader implementation and validation in clinical settings for routine use.

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Implication

Evaluation of AI-driven autopositioning and radiation exposure monitoring in computed tomography scans, indicating potential improvements.

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Cite This Study

Biondi et al. (2026) studied this question.

synapsesocial.com/papers/69a75ed6c6e9836116a29ce2 https://doi.org/10.1067/j.cpradiol.2026.01.012

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