Introduction of Artificial Intelligence in Cardiotocography Interpretation for the Clinical Use
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Author
Soltani, Abolfazl
Van Zaen, Jérôme
Aguet, Clémentine
Sigurthorsdottir, Halla
Radan, Anda-Petronela
Lemay, Mathieu
DOI
Abstract
Cardiotocography 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.
Publication Reference
CSEM Scientific and Technical Report 2022, p. 36
Year
2022