Computational methods for the analysis of early-pregnancy brain ultrasonography: a systematic review

Bastiaansen, Wietske A.P.; Klein, Stefan; Koning, Anton H. J.; Niessen, Wiro J.; Steegers‐Theunissen, R.P.M.; Rousian, Melek

doi:10.1016/j.ebiom.2023.104466

eBioMedicine

2023

DOI: 10.1016/j.ebiom.2023.104466

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Computational methods for the analysis of early-pregnancy brain ultrasonography: a systematic review

Wietske A.P. Bastiaansen¹,

Stefan Klein²,

Anton H. J. Koning³

et al.

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2024

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Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

Weichert,

Scharf

2024

JCM

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The detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely, well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcomes. With recent advancements in artificial intelligence (AI) in general and medical imaging in particular, there has been growing interest in leveraging AI techniques to enhance the accuracy, efficiency, and clinical utility of fetal neurosonography. The paramount objective of this focusing review is to discuss the latest developments in AI applications in this field, focusing on image analysis, the automation of measurements, prediction models of neurodevelopmental outcomes, visualization techniques, and their integration into clinical routine.

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Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

Weichert,

Scharf

2024

JCM

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Computational methods for the analysis of early-pregnancy brain ultrasonography: a systematic review

Cited by 1 publication

References 84 publications

Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review

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