Publications

AI-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

Prediction of Fetal Blood Pressure during Labour with Deep Learning Techniques

Tolladay J. et al, (2023), Bioengineering, 10, 775 - 775

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

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: An International Journal of Obstetrics & Gynaecology

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

Bowe S. et al, (2023), AJOG Global Reports, 3, 100149 - 100149

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

Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspective

Georgieva A. et al, (2022), Frontiers in Pediatrics, 10

Cookies on this website

Publications