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A knowledge-guided and uncertainty-calibrated multimodal framework for fracture diagnosis and radiology report generation | Synapse
March 3, 2026
A knowledge-guided and uncertainty-calibrated multimodal framework for fracture diagnosis and radiology report generation
RB
Riadh Bouslimi
Key Points
Enhanced fracture diagnosis accuracy shows a potential increase of 25% with the new framework, supporting its utility in clinical settings.
The framework utilizes both knowledge-guided approaches and uncertainty calibration to improve diagnostic outcomes in radiology reports.
Assessment includes various imaging modalities to refine fracture detection and ensure reliable report generation for clinicians.
Highlights the need for better diagnostic tools in radiology to manage uncertainty and improve patient outcomes effectively.
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Riadh Bouslimi (Tue,) studied this question.
synapsesocial.com/papers/69a75affc6e9836116a21891
https://doi.org/https://doi.org/10.1016/j.compmedimag.2026.102709