We demonstrate the first automated staging system for pediatric cancers using standardized Toronto criteria. The tool showed high accuracy comparable to human experts and excellent consistency between independent runs. We propose a hybrid workflow that flags uncertain cases for human review, yielding approximately 97% accuracy with approximately 30% human adjudication.
Building similarity graph...
Analyzing shared references across papers
Loading...
Iyad Sultan
Anwar Al‐Nassan
Laith Alomari
Pediatric Blood & Cancer
University of Jordan
Pennsylvania Hospital
King Hussein Cancer Center
Building similarity graph...
Analyzing shared references across papers
Loading...
Sultan et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69ba42bc4e9516ffd37a33ff — DOI: https://doi.org/10.1002/pbc.32086