Shazly, S.A.; Hortu, I.; Shih, J.-C.; Melekoglu, R.; Fan, S.; Ahmed, F.U.A.; Karaman, E.; Fatkullin, I.; Pinto, P.V.; Irianti, S.; Tochie, J.N.; Abdelbadie, A.S.; Ergenoglu, A.M.; Yeniel, A.O.; Sagol, S.; Itil, I.M.; Kang, J.; Huang, K.-Y.; Yilmaz, E.; Liang, Y.; Aziz, H.; Akhter, T.; Ambreen, A.; Ateş, Ç.; Karaman, Y.; Khasanov, A.; Larisa, F.; Akhmadeev, N.; Vatanina, A.; Machado, A.P.; Montenegro, N.; Effendi, J.S.; Suardi, D.; Pramatirta, A.Y.; Aziz, M.A.; Siddiq, A.; Ofakem, I.; Dohbit, J.S.; Fahmy, M.S.; Anan, M.A.; and Middle East Obstetrics and Gynecology Graduate Education (MOGGE) foundation-Artificial intelligence (AI) unit
(2021)
Introduction: Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these ...