ReviewActa obstetricia et gynecologica Scandinavica2023
Computerized cardiotocography analysis during labor - A state-of-the-art review.
Review in Acta obstetricia et gynecologica Scandinavica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Large-scale analysis of interobserver agreement and reliability in cardiotocography interpretation during labor using an online tool.BMC pregnancy and childbirth · 2024Trial
- Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule-based AI program: A comparative cross-sectional study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Multicenter Usability Evaluation and Co-Development of a Digital Decision-Support Tool for Labor Triage: Mixed Methods Study.JMIR human factors · 2026Article
- Abnormal Intrapartum Cardiotocographic Tracing, Fetal Outcome and Placental Pathology.Diagnostics (Basel, Switzerland) · 2026Article
- Fetal health classification: a deep learning model with enhanced interpretability and lightweight deployment.Medical & biological engineering & computing · 2026Article
- Artificial intelligence-based prediction of fetal hypoxia: a multicenter model development and nationwide AI-human comparison.BMC medicine · 2026Article
- Randomised study of human machine collaboration for cardiotocography interpretation during labour.NPJ digital medicine · 2026Article
- Enhancing cardiotocography classification via ensemble learning and threshold optimization.Scientific reports · 2025Article
- Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care.BJOG : an international journal of obstetrics and gynaecology · 2025Review
- Intermittent auscultation fetal monitoring practice in different UK birth settings: a cross-sectional survey.BMC pregnancy and childbirth · 2025Article
- Development, Validation, and Diagnostic Accuracy of the Fetal Lack of Responsiveness Scale for Diagnosis of Severe Perinatal Hypoxia.Journal of pregnancy · 2024Observational
- Editorial: New technologies improve maternal and newborn safety.Frontiers in medical technology · 2024Article
- Conventional CardiotocographyMaedica · 2023Article
- Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Computerized cardiotocography analysis during labor - A state-of-the-art review.Acta obstetricia et gynecologica Scandinavica · 2023Review
- DeepCTG® 1.0: an interpretable model to detect fetal hypoxia from cardiotocography data during labor and delivery.Frontiers in pediatrics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiotocography is defined as the recording of fetal heart rate and uterine contractions and is widely used during labor as a screening tool to determine fetal wellbeing. The visual interpretation of the cardiotocography signals by the practitioners, following common guidelines, is subject to a high interobserver variability, and the efficiency of cardiotocography monitoring is still debated. Since the 1990s, researchers and practitioners work on designing reliable computer-aided systems to assist practitioners in cardiotocography interpretation during labor. Several systems are integrated in the monitoring devices, mostly based on the guidelines, but they have not clearly demonstrated yet their usefulness. In the last decade, the availability of large clinical databases as well as the emergence of machine learning and deep learning methods in healthcare has led to a surge of studies applying those methods to cardiotocography signals analysis. The state-of-the-art systems perform well to detect fetal hypoxia when evaluated on retrospective cohorts, but several challenges remain to be tackled before they can be used in clinical practice. First, the development and sharing of large, open and anonymized multicentric databases of perinatal and cardiotocography data during labor is required to build more accurate systems. Also, the systems must produce interpretable indicators along with the prediction of the risk of fetal hypoxia in order to be appropriated and trusted by practitioners. Finally, common standards should be built and agreed on to evaluate and compare those systems on retrospective cohorts and to validate their use in clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.