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Peer-Reviewed Publication
BMC Pregnancy Childbirth2026;26(1)April 27, 2026Journal Article

Evaluating the usability and practicality of AI-enabled smartphone-based obstetric ultrasound in Sierra Leone: a mixed-methods study.

Abu Dim Din Sesay1, Amie Lompri Koroma2, Anke van der Kwaak3, Enya Seguin4, Alhassan Kanu5, Abdul Mac Falama6, Mirjam I Bakker3, Irene de Vries3
1Ministry of Health and Sanitation, Freetown, Sierra Leone. sesayabu91@gmail.com.
2White Ribbon Alliance, Freetown, Sierra Leone.
3KIT Royal Tropical Institute, Amsterdam, The Netherlands.
4Delft Imaging, s-Hertogenbosch, The Netherlands.
5Centre for Community & Public Health Improvement, Freetown, Sierra Leone.
6Ministry of Health and Sanitation, Freetown, Sierra Leone.

Abstract

BACKGROUND: Access to WHO-recommended obstetric ultrasound before 24 weeks of gestation remains limited in Sierra Leone due to infrastructure, training, and equipment constraints. Artificial Intelligence (AI) enabled smartphone-based ultrasound offers a potential solution to improve access and quality of maternal care. This study assessed the usability of this technology during a pilot implementat…

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