Fuzzy Recurrence Dynamics of Contrast Medium Extravasation in Computed Tomography

Established paradigm of computed tomography (CT) imaging analysis in trauma care.

This preprint resides primarily within the normal science stage of Kuhn’s paradigm cycle. It operates within the established paradigm of CT imaging for trauma assessment but introduces a novel analytical approach (fuzzy recurrence dynamics and geostatistical modeling) to refine existing diagnostic capabilities. This can be seen as an attempt to solve a puzzle within the existing paradigm, which is characteristic of normal science. The research acknowledges the established role of CT imaging in trauma care and builds upon existing literature, indicating a commitment to the current paradigm. However, the identified limitations and the potential for future research extending these methods into other medical conditions suggest a possible model drift. The proposed methodology aims to improve the accuracy and timeliness of trauma care within the existing framework of CT imaging, rather than proposing a radical shift in diagnostic methods or understanding of trauma itself. The authors do mention a potential “paradigm shift,” but their work represents an incremental advancement within the current paradigm, not a full-blown paradigm change. Due to the authors’ mention of paradigm shift, and my uncertain interpretation thereof, I include **model drift** as a secondary classification.
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