TY - GEN
T1 - An implementation framework for introducing obstetric ultrasound in new contexts
AU - Vries, Irene de
AU - Saidi, Trust
AU - Ali, Sam
AU - Papageorghiou, Aris T.
AU - Temmerman, Marleen
AU - Rijken, Marcus J.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - To improve the quality of obstetric care, WHO recommends that all pregnant women receive at least one ultrasound before 24 weeks of gestation. Over the past decade, the global uptake of ultrasound technology has increased substantially, accelerated through the dissemination of (portable) devices, task sharing, telemedicine, and training of health-care providers. Concurrently, advances in artificial intelligence (AI) have enabled the integration of AI into affordable ultrasound devices, aiming to support (non-specialised) providers in identifying potential complications and facilitating timely referral.
AB - To improve the quality of obstetric care, WHO recommends that all pregnant women receive at least one ultrasound before 24 weeks of gestation. Over the past decade, the global uptake of ultrasound technology has increased substantially, accelerated through the dissemination of (portable) devices, task sharing, telemedicine, and training of health-care providers. Concurrently, advances in artificial intelligence (AI) have enabled the integration of AI into affordable ultrasound devices, aiming to support (non-specialised) providers in identifying potential complications and facilitating timely referral.
U2 - 10.1016/S3050-5038(25)00200-6
DO - 10.1016/S3050-5038(25)00200-6
M3 - Other contribution
T3 - Centre of Excellence in Women and Child Health
ER -