Cite
OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester.
MLA
Familiari, A., et al. “OP02.09: AIRFRAME: Artificial Intelligence for Recognition of Fetal Brain Anomalies from Ultrasound Images of the First Trimester.” Ultrasound in Obstetrics & Gynecology, vol. 64, Sept. 2024, pp. 64–65. EBSCOhost, https://doi.org/10.1002/uog.27891.
APA
Familiari, A., Di Ilio, C., Fanelli, T., Volpe, P., Dall’Asta, A., Volpe, N., Zegarra, R. R., Minopoli, M., Thilaganathan, B., Prefumo, F., Quarello, E., Raffaelli, R., Binder, J., Grisolia, G., Rizzo, G., Meagher, S., Tran, H., Boldrini, L., & Ghi, T. (2024). OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester. Ultrasound in Obstetrics & Gynecology, 64, 64–65. https://doi.org/10.1002/uog.27891
Chicago
Familiari, A., C. Di Ilio, T. Fanelli, P. Volpe, A. Dall’Asta, N. Volpe, R. Ramirez Zegarra, et al. 2024. “OP02.09: AIRFRAME: Artificial Intelligence for Recognition of Fetal Brain Anomalies from Ultrasound Images of the First Trimester.” Ultrasound in Obstetrics & Gynecology 64 (September): 64–65. doi:10.1002/uog.27891.