Ensemble learning for fetal ultrasound and maternal–fetal data to predict mode of delivery after labor induction
Iolanda Ferreira,
Joana Simões,
Beatriz Pereira
et al.
Abstract:Providing adequate counseling on mode of delivery after induction of labor (IOL) is of utmost importance. Various AI algorithms have been developed for this purpose, but rely on maternal–fetal data, not including ultrasound (US) imaging. We used retrospectively collected clinical data from 808 subjects submitted to IOL, totaling 2024 US images, to train AI models to predict vaginal delivery (VD) and cesarean section (CS) outcomes after IOL. The best overall model used only clinical data (F1-score: 0.736; posit… Show more
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