Calculating a risk score for neonatal compromise evident at birth

A data-driven computational model integrates fetal heart rate and other risk factors to predict neonatal compromise, enhancing fetal monitoring accuracy and enabling early interventions to improve birth outcomes.

WO2026013375A1 Publication Date: 2026-01-15OXFORD UNIVERSITY INNOVATION LTD
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Patent Information

Application Number
PCT/GB2025/051412
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-11
Filing Date
2025-06-26
Publication Date
2026-01-15

AI Technical Summary

Technical Problem

Current fetal heart rate monitoring during childbirth is subject to high interobserver variability and fails to accurately integrate various risk factors, leading to inconsistent and less accurate judgments about fetal wellbeing, potentially resulting in negative outcomes for both mother and baby.

Method used

A computer-implemented method using a data-driven computational model to calculate a neonatal compromise risk score by combining fetal heart rate data with maternal, fetal, and labor characteristics, enabling early identification of high-risk fetuses and informing timely clinical interventions.

Benefits of technology

Provides a systematic and accurate estimation of fetal compromise risk, allowing clinicians to make informed decisions earlier in labor, reducing the likelihood of adverse outcomes and improving health outcomes for both the baby and mother.

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Abstract

There is provided an apparatus, a system and a computer-implemented method for calculating a risk score for neonatal compromise evident at birth. The method may include receiving fetal heart rate data of a fetus. At least a portion of such fetal heart rate data may be obtained in association with an indication of labour onset. The method also includes receiving risk factor data corresponding to the fetus. The risk factor data includes one or more of a maternal characteristic of a mother of the fetus, a characteristic of the fetus, a characteristic of the labour, and a characteristic of the pregnancy. The method also includes determining, using a data-driven computational model, a neonatal compromise risk score based on the risk factor data and, if used, on the received fetal heart rate data. The method also includes outputting the determined neonatal compromise risk score. The determined neonatal compromise risk score is indicative of a risk of the fetus presenting with compromise at birth.
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