Sano Team: Szymon Płotka, Arkadiusz Sitek

Goal: Preterm Birth Prediction based on fetal transvaginal ultrasound videos using Deep Learning methods


  • University Centre of Mother and Child’s Health, Medical University of Warsaw
  • Michał Lipa, Medical University of Warsaw
  • Tomasz Trzciński, Warsaw University of Technology


  • 200 independent fetal transvaginal US recordings

Preliminary results:

  • Deep learning methods are promising for preterm birth prediction
  • Physical biomarkers could be a good preterm birth indicator
  • Publication in preparation