Publications

• Sompolinsky Y, Lipschuetz M, Cohen-Cymberknoh M, et al.
  Early childhood respiratory morbidity according to gestational age at birth.Respir Med. 2025;236:107913. PMID: 39689734.
• Guedalia J, Sompolinsky Y, Novoselsky Persky M, et al.
  Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.BJOG. 2021. PMID: 33609073.
• Guedalia J, Lipschuetz M, Sompolinsky Y, et al.
  Transporting an AI model to predict emergency cesarean delivery: overcoming challenges posed by interfacility variation.J Med Internet Res. 2021. PMID: 34935767.
• Lipschuetz M, Guedalia J, Sompolinsky Y, et al.
  Machine learning in EHRs: identifying high-risk obstetric patients pre and during labor.Stud Health Technol Inform. 2024;315:3–7.
• Sompolinsky Y, Guedalia J, Vilk-Ayalon N, et al.
  Fetal head station during artificial rupture of membranes: a large retrospective cohort study.Front Med - Obstet Gynecol. In press.
• Sompolinsky Y, Lipschuetz M, Cohen SM, Yagel S.
  Gynecology, Obstetrics and Fertility; reborn in the digital revolution.Harefuah. In press.