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Full-Text Articles in Medicine and Health Sciences
Acceptability And Feasibility Of A Low-Cost Device For Gestational Age Assessment In A Low-Resource Setting: Qualitative Study, Angela Koech, Peris Muoga Musitia, Grace Mwashigadi, Mai-Lei Woo Kinshella, Marianne Vidler, Marleen Temmerman, Rachel Craik, J. Alison Noble, Peter Dadelszen Von Dadelszen, Aris T . Papageorghiou
Acceptability And Feasibility Of A Low-Cost Device For Gestational Age Assessment In A Low-Resource Setting: Qualitative Study, Angela Koech, Peris Muoga Musitia, Grace Mwashigadi, Mai-Lei Woo Kinshella, Marianne Vidler, Marleen Temmerman, Rachel Craik, J. Alison Noble, Peter Dadelszen Von Dadelszen, Aris T . Papageorghiou
Obstetrics and Gynaecology, East Africa
Background: Ultrasound for gestational age (GA) assessment is not routinely available in resource-constrained settings, particularly in rural and remote locations. The TraCer device combines a handheld wireless ultrasound probe and a tablet with artificial intelligence (AI)-enabled software that obtains GA from videos of the fetal head by automated measurements of the fetal transcerebellar diameter and head circumference.
Objective: The aim of this study was to assess the perceptions of pregnant women, their families, and health care workers regarding the feasibility and acceptability of the TraCer device in an appropriate setting.
Methods: A descriptive study using qualitative methods was conducted in …
Generalisability Of Deep Learning Models In Low-Resource Imaging Settings: A Fetal Ultrasound Study In 5 African Countries, Carla Sendra-Balcells, V´Ictor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Sikolia Wanyonyi, Marleen Temmerman
Generalisability Of Deep Learning Models In Low-Resource Imaging Settings: A Fetal Ultrasound Study In 5 African Countries, Carla Sendra-Balcells, V´Ictor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Sikolia Wanyonyi, Marleen Temmerman
Obstetrics and Gynaecology, East Africa
Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical imaging is needed. For example, in Sub-Saharan Africa the rate of perinatal mortality is very high due to limited access to antenatal screening. In these countries, AI models could be implemented to help clinicians acquire fetal ultrasound planes for diagnosis of fetal abnormalities. So far, deep learning models have been proposed to identify standard fetal planes, but there is no evidence of their ability to generalise in …