Introduction of Artificial Intelligence in Cardiotocography Interpretation for the Clinical Use

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dc.contributor.authorSoltani, Abolfazl
dc.contributor.authorVan Zaen, Jérôme
dc.contributor.authorAguet, Clémentine
dc.contributor.authorSigurthorsdottir, Halla
dc.contributor.authorRadan, Anda-Petronela
dc.contributor.authorLemay, Mathieu
dc.date.accessioned2025-11-11T15:37:48Z
dc.date.available2025-11-11T15:37:48Z
dc.date.issued2022
dc.description.abstractCardiotocography is among the most important medical surveillance methods, particularly for the assessment of the fetal state during labor. Yet, its conventional subjective interpretation mainly depends on the observer’s experience which can lead to different interpretations of a same situation. In this article, we present how we have overcome this well-known issue at CSEM by a close collaboration with the Inselspital Bern. We have taken the advantage of Artificial Intelligence to devise a smart system capable of interpreting the cardiotocograms and provide accurate estimation of the pH level of the fetus (as a strong biomarker of hypoxia) as well as the detection of fetal hypoxia.
dc.identifier.citationCSEM Scientific and Technical Report 2022, p. 36
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1823
dc.titleIntroduction of Artificial Intelligence in Cardiotocography Interpretation for the Clinical Use
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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