health
Machine-learning models tested on bladder studies in spina bifida
A medRxiv preprint reports that three adapted machine-learning models were evaluated on videourodynamic data from an independent cohort of patients with spina bifida. A model combining pressure-volume measurements and fluoroscopic images had the strongest reported results for predicting hydronephrosis and classifying bladder dysfunction.