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Ghi T, Conversano F, Ramirez Zegarra R, et al. Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor. Ultrasound Obstet Gynecol. 2022;59(1):93-99doi: 10.1002/uog.23739.
Ghi, T., Conversano, F., Ramirez Zegarra, R., Pisani, P., Dall'Asta, A., Lanzone, A., Lau, W., Vimercati, A., Iliescu, D. G., Mappa, I., Rizzo, G., Casciaro, S. (2022). Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 59(1), 93-99. https://doi.org/10.1002/uog.23739
Ghi, T, et al. "Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor." Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology vol. 59,1 (2022): 93-99. doi: https://doi.org/10.1002/uog.23739
Ghi T, Conversano F, Ramirez Zegarra R, Pisani P, Dall'Asta A, Lanzone A, Lau W, Vimercati A, Iliescu DG, Mappa I, Rizzo G, Casciaro S. Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor. Ultrasound Obstet Gynecol. 2022 Jan;59(1):93-99. doi: 10.1002/uog.23739. PMID: 34309926.
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