Hexiang Peng, Yiqun Wu, Ren Zhou, Jin Jiang, Xi Chen, Mengying Wang, Tao Ren, Chihui Yu, Tao Wu
Comparison of self-efficacy among graduate teaching assistants before and after training
BMC medical education
position fetal head engagement progression birth canal primary cause dystocic labor arrest progression often due malposition malrotation authors performed investigation pregnant women labor underwent vaginal digital examination obstetricians midwives well intrapartum ultrasonography collect four geometric parameters measured women parameters measured using artificial intelligence machine learning algorithms called aida artificial intelligence dystocia algorithm incorporates humanintheloop approach use ai artificial intelligence algorithms prioritize physicians decision explainable artificial intelligence xai aida structured five classes number geometric parameters collected data obtained aida analysis entered red yellow green zone linked analysis progress labor using aida analysis able identify five reference classes patients labor certain sort birth outcome 100 cesarean birth prediction made two five classes use artificial intelligence evaluation certain obstetric parameters specific decisionmaking algorithms allows physicians systematically understand results algorithms explained approach useful evaluating progress labor predicting labor outcome including spontaneous whether operative vd vaginal delivery attempted icd intrapartum cesarean delivery preferable necessary