Mobil Monitoring Doppler Ultrasound (MoMDUS) study: protocol for a prospective, observational study investigating the use of artificial intelligence and low-cost Doppler ultrasound for the automated quantification of hypertension, pre-eclampsia and fetal growth restriction in rural Guatemala.

Journal: BMJ open
PMID: 39260859

Abstract

INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortality in low-income and middle-income countries. A key contributor to adverse perinatal outcomes in these settings is limited access to high-quality screening and timely referral to care. Recently, a low-cost one-dimensional Doppler ultrasound (1-D DUS) device was developed that front-line workers in rural Guatemala used to collect quality maternal and fetal data. Further, we demonstrated with retrospective preliminary data that 1-D DUS signal could be processed using artificial intelligence and deep-learning algorithms to accurately estimate fetal gestational age, intrauterine growth and maternal blood pressure. This protocol describes a prospective observational pregnancy cohort study designed to prospectively evaluate these preliminary findings.

Authors

  • Edlyn Ramos
    Center for Indigenous Health Research, Maya Health Alliance Wuqu' Kawoq, Tecpán, Guatemala.
  • Irma Piló Palax
    Center for Indigenous Health Research, Maya Health Alliance Wuqu' Kawoq, Tecpán, Guatemala.
  • Emily Serech Cuxil
    Center for Indigenous Health Research, Maya Health Alliance Wuqu' Kawoq, Tecpán, Guatemala.
  • Elsa Sebaquijay Iquic
    Center for Indigenous Health Research, Maya Health Alliance Wuqu' Kawoq, Tecpán, Guatemala.
  • Ana Canú Ajqui
    Center for Indigenous Health Research, Maya Health Alliance Wuqu' Kawoq, Tecpán, Guatemala.
  • Ann C Miller
    Department of Global Health and Social Medicinem, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Suchitra Chandrasekeran
    Department of Gynecology and Obstetrics, Emory University, Atlanta, Georgia, USA.
  • Rachel Hall-Clifford
    Department of Sociology, Center for the Study of Human Health, Emory University, Atlanta, GA, United States.
  • Reza Sameni
    Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.
  • Nasim Katebi
    Department of Biomedical Informatics, Emory University, Atlanta, Georgia, USA.
  • Gari D Clifford
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
  • Peter Rohloff
    Wuqu' Kawoq | Maya Health Alliance, Santiago Sacatepéquez, Guatemala.

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