Evaluating the usability and practicality of AI-enabled smartphone-based obstetric ultrasound in Sierra Leone: a mixed-methods study
AI-powered ultrasound on smartphones works reliably for pregnancy care in low-resource settings, potentially expanding access to prenatal imaging.
This mixed-methods study evaluates an AI-enabled smartphone ultrasound tool in Sierra Leone, finding acceptable usability and practicality among healthcare providers with task-shifting potential in LMIC maternal care settings. The findings support further implementation research for AI-assisted obstetric imaging in resource-limited environments.
What the study was
- Study design
- Mixed-methods study
- Population
- Healthcare providers and pregnant women in Sierra Leone (LMIC)
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- BMC Pregnancy and Childbirth
Why it surfaced
AI ultrasound in LMIC (Sierra Leone); addresses critical gap in maternal health diagnostics in low-resource settings.
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