Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort

M. Zijta; W. Bastiaansen; E. Steegers; R. M. Wijnen; R. P. Steegers-Theunissen; S. Klein; B. S. de Bakker; M. Rousian

doi:10.1002/uog.27767

Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort

M. Zijta, W. Bastiaansen, E. Steegers, R. M. Wijnen, R. P. Steegers-Theunissen, S. Klein, B. S. de Bakker, M. Rousian

Research output: Contribution to journal › Meeting Abstract › Academic › peer-review

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Abstract

Here, we showed the first steps towards automatic detection of brain anomalies in first trimester pregnancies using 3D ultrasound images. The next step is to evaluate if the abnormal features correspond with the brain anomalies. In the future, we will extend this algorithm towards a broader age range and towards all anatomical structures to enable automated congenital anomaly screening during the first trimester.

Original language	English
Article number	OC07.06
Pages (from-to)	19
Number of pages	1
Journal	Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Volume	64
Issue number	S1
DOIs	https://doi.org/10.1002/uog.27767
Publication status	Published - 9 Sept 2024

Bibliographical note

Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary

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10.1002/uog.27767

Ultrasound in Obstet Gyne - 2024 - Zijta - OC07 06 Artificial intelligence for automated detection of congenital brainFinal published version, 51 KB

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Zijta, M., Bastiaansen, W., Steegers, E., Wijnen, R. M., Steegers-Theunissen, R. P., Klein, S., de Bakker, B. S., & Rousian, M. (2024). Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 64(S1), 19. Article OC07.06. https://doi.org/10.1002/uog.27767

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title = "Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort",

abstract = "Here, we showed the first steps towards automatic detection of brain anomalies in first trimester pregnancies using 3D ultrasound images. The next step is to evaluate if the abnormal features correspond with the brain anomalies. In the future, we will extend this algorithm towards a broader age range and towards all anatomical structures to enable automated congenital anomaly screening during the first trimester.",

author = "M. Zijta and W. Bastiaansen and E. Steegers and Wijnen, \{R. M.\} and Steegers-Theunissen, \{R. P.\} and S. Klein and \{de Bakker\}, \{B. S.\} and M. Rousian",

note = "Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary",

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Zijta, M , Bastiaansen, W , Steegers, E , Wijnen, RM , Steegers-Theunissen, RP , Klein, S , de Bakker, BS & Rousian, M 2024, 'Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort', Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, vol. 64, no. S1, OC07.06, pp. 19. https://doi.org/10.1002/uog.27767

Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort. / Zijta, M.; Bastiaansen, W.; Steegers, E. et al.
In: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, Vol. 64, No. S1, OC07.06, 09.09.2024, p. 19.

Research output: Contribution to journal › Meeting Abstract › Academic › peer-review

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AU - Bastiaansen, W.

AU - Steegers, E.

AU - Wijnen, R. M.

AU - Steegers-Theunissen, R. P.

AU - Klein, S.

AU - de Bakker, B. S.

AU - Rousian, M.

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Zijta M , Bastiaansen W , Steegers E , Wijnen RM , Steegers-Theunissen RP , Klein S et al. Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2024 Sept 9;64(S1):19. OC07.06. doi: 10.1002/uog.27767

Artificial intelligence for automated detection of congenital brain anomalies in the first trimester: the Rotterdam Periconception Cohort

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