Motie-Shirazi, Mohsen https://orcid.org/0000-0002-0168-0330
Nikookar, Sepideh https://orcid.org/0000-0003-0181-3567
Ahmad, Mohammad https://orcid.org/0000-0001-8632-0125
Rafiei, Alireza https://orcid.org/0000-0001-9747-4023
Sameni, Reza https://orcid.org/0000-0003-4913-6825
Rohloff, Peter https://orcid.org/0000-0001-7274-8315
Clifford, Gari D https://orcid.org/0000-0002-5709-201X
Katebi, Nasim https://orcid.org/0000-0001-7750-0554
Funding for this research was provided by:
PREHS-SEED (K12ESO33593)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (1R01HD110480)
National Center for Advancing Translational Sciences (UL1TR002378)
Google.org
Article Title: Real-time quality feedback on Doppler data for community midwives using edge-AI
Journal Title: Machine Learning: Health
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2025-06-20
Date Accepted: 2025-11-05
Online publication date: 2025-11-18