Performance evaluation of computerized antepartum fetal heart rate monitoring: Dawes–Redman algorithm at term
These findings indicate that the Dawes-Redman algorithm is effective for its intended purpose: identifying a state of fetal wellbeing. This is evidenced by its high specificity. However, its low sensitivity suggests limitations in its ability to identify fetuses at risk of APO. The predictive accuracy of the algorithm is affected significantly by the prevalence of healthy pregnancies within the population. Clinical interpretation of FHR traces that do not satisfy the 10 Dawes-Redman criteria warrant further expert clinical evaluation. While the algorithm proves reliable for its primary objective, the development of an algorithm optimized for high-risk pregnancy scenarios remains an area of interest for future study. © 2025 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Authors
- Gabriel Davis Jones (ORCID: https://orcid.org/0000-0003-4070-4814)
- William H. Cooke (ORCID: https://orcid.org/0000-0002-4164-2013)
- Manu Vatish (ORCID: https://orcid.org/0000-0002-6012-2574)
- Benjamin B. Albert (ORCID: https://orcid.org/0000-0003-0498-3473)
Institutions
- John Radcliffe Hospital (GB)
- University of Oxford (GB)
- The Alan Turing Institute (GB)
Publication Details
- Journal
- Ultrasound in Obstetrics and Gynecology
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/uog.29167
- Citations
- 7
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 24.46
Funders
- Alan Turing Institute
- UK Research and Innovation
- Medical Research Council