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

Antoniya Georgieva; Patrice Abry; Ines Nunes; Martin G Frasch

doi:10.3389/fped.2022.1007799

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

Front Pediatr. 2022 Sep 5:10:1007799. doi: 10.3389/fped.2022.1007799. eCollection 2022.

Authors

Antoniya Georgieva¹, Patrice Abry², Ines Nunes^{3

4}, Martin G Frasch⁵

Affiliations

¹ Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.
² CNRS, École Normale Supérieure de Lyon, Laboratoire de Physique, Lyon, France.
³ Centro Materno Infantil Do Norte-Centro Hospitalar Universitário Do Porto, Porto, Portugal.
⁴ Centro Académico Clínico, Instituto de Ciências Biomédicas Abel Salazar, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal.
⁵ Department of Obstetrics and Gynecology and Center on Human Development and Disability, University of Washington, Seattle, WA, United States.

No abstract available

Keywords: big data and analytics; cardiotocography; decision support; electrocardiography; electroencephalography; electronic fetal monitoring; machine learning; pregnancy.

Publication types

Editorial