ReviewFrontiers in artificial intelligence2021
Challenges of Developing Robust AI for Intrapartum Fetal Heart Rate Monitoring.
Review in Frontiers in artificial intelligence, 2021. 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
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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.
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Who cites it
16 citing papers in PubMed.
- Whose Knowledge Counts in Labour? Obstetric Nurses Negotiating Clinical Judgement, Algorithmic Authority and Woman-Centred Care in Artificial Intelligence-Enhanced Foetal Monitoring.Nursing inquiry · 2026Article
- Multicenter Usability Evaluation and Co-Development of a Digital Decision-Support Tool for Labor Triage: Mixed Methods Study.JMIR human factors · 2026Article
- Analysis of electrohysterogram signals for predicting obstetric outcome using machine learning methods: a scoping review.BMC pregnancy and childbirth · 2026Article
- Review
- Neonatal encephalopathy and hypoxic-ischemic encephalopathy: the state of the art.Pediatric research · 2025Review
- Maternal fever during labor and the risk of neonatal encephalopathy: duration and magnitude of hyperthermia.American journal of obstetrics and gynecology · 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
- Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis.NPJ digital medicine · 2025Article
- Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Current Developments from Silicon Valley - How Artificial Intelligence is Changing Gynecology and Obstetrics.Geburtshilfe und Frauenheilkunde · 2024Article
- A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization.Interdisciplinary sciences, computational life sciences · 2024Article
- 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.BMC medical ethics · 2024Article
- Computerised Cardiotocography Analysis for the Automated Detection of Fetal Compromise during Labour: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.BMC medical ethics · 2023Article
- Computerized cardiotocography analysis during labor - A state-of-the-art review.Acta obstetricia et gynecologica Scandinavica · 2023Review
- CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
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What OpenQuestion holds
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 OpenQuestion graph.