Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography
This study demonstrates the successful development of a novel AI algorithm utilizing FHR and UA data to analyze and interpret fetal tracing events and parameters. The algorithm may have potential to enhance patient care by supporting bedside clinician CTG interpretation.
Authors
- S. Harry Harris
- Rohit Pardasani (ORCID: https://orcid.org/0000-0002-2444-1025)
- Halit O. Yapici (ORCID: https://orcid.org/0009-0003-2447-7962)
- John Beard
- Renee Vitullo
Institutions
- General Electric (Spain) (ES)
- Boston Partners in Education (US)
- Medical Discovery Partners (United States) (US)
- Mass General Brigham (US)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3389/fdgth.2025.1638424
- Citations
- 2
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 6.99