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March 3, 2026
Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data
MB
M. Biondi
Azienda Usl Toscana Centro
EB
Eleonora Bortoli
Azienda Usl Toscana Centro
RA
Rossella Avitabile
Azienda Usl Toscana Centro
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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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Biondi et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75ed6c6e9836116a29ce2
https://doi.org/https://doi.org/10.1067/j.cpradiol.2026.01.012
Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data | Synapse