Toward automated interpretable AAST grading for blunt splenic injury.

Haomin ChenMathias UnberathDavid Dreizin

Published in: Emergency radiology (2022)

The results of our method were rapid and verifiable, with high agreement between automated and expert consensus grades. Diagnosis of high-grade lesions and prediction of hemorrhage control intervention produced accurate results in adult patients.

Keyphrases

high grade
deep learning
machine learning
high throughput
randomized controlled trial
low grade
high resolution
trauma patients
mass spectrometry
loop mediated isothermal amplification
sensitive detection