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Search results (56)

« Back to Publications

Revisiting the Value of Admission Cardiotocography in Term Pregnancies: An Updated Systematic Review and Meta-Analysis.

Tome M. et al, (2026), BJOG, 133, 375 - 390

Intersectional dynamics and care disparities in intrapartum electronic fetal monitoring: a socio-technical systems perspective.

Gutiérrez VB. et al, (2025), BMC Pregnancy Childbirth, 25

dvancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care.

Lovers A. et al, (2025), BJOG, 132, 853 - 866

deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data

Tolladay J. et al, (2024), Expert Systems with Applications, 255

The peripheral chemoreflex and fetal defenses against intrapartum hypoxic-ischemic brain injury at term gestation.

Lear CA. et al, (2024), Semin Fetal Neonatal Med, 29

Exploring the potential cost-effectiveness of a new computerised decision support tool for identifying fetal compromise during monitored term labours: an early health economic model.

Campbell HE. et al, (2024), Cost Eff Resour Alloc, 22

Exploring the potential cost-effectiveness of a new computerised decision support tool for identifying fetal compromise during monitored term labours: an early health economic model

Campbell HE. et al, (2024), Cost Effectiveness and Resource Allocation, 22

I-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making.

Dlugatch R. et al, (2024), BMC Med Ethics, 25

Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes

Asfaw D. et al, (2024), Proceedings - 2024 16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024, 259 - 266

Fetal heart rate responses in chronic hypoxaemia with superimposed repeated hypoxaemia consistent with early labour: a controlled study in fetal sheep.

Lear CA. et al, (2023), BJOG, 130, 881 - 890

Prediction of Fetal Blood Pressure during Labour with Deep Learning Techniques.

Tolladay J. et al, (2023), Bioengineering (Basel), 10

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.

Dlugatch R. et al, (2023), BMC Med Ethics, 24

Multimodal Deep Learning for Predicting Adverse Birth Outcomes Based on Early Labour Data.

Asfaw D. et al, (2023), Bioengineering (Basel), 10

Predelivery placenta-associated biomarkers and computerized intrapartum fetal heart rate patterns.

Bowe S. et al, (2023), AJOG Glob Rep, 3

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance

Asfaw D. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13810 LNCS, 459 - 469

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