A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

BACKGROUND: Fetal ultrasound is an important component of antenatal care, but shortage of adequately trained healthcare workers has limited its adoption in low-to-middle-income countries. This study investigated the use of artificial intelligence for fetal ultrasound in under-resourced settings. MET...

Descripción completa

Detalles Bibliográficos
Autores principales: Gomes, Ryan G., Vwalika, Bellington, Lee, Chace, Willis, Angelica, Sieniek, Marcin, Price, Joan T., Chen, Christina, Kasaro, Margaret P., Taylor, James A., Stringer, Elizabeth M., McKinney, Scott Mayer, Sindano, Ntazana, Dahl, George E., Goodnight, William, Gilmer, Justin, Chi, Benjamin H., Lau, Charles, Spitz, Terry, Saensuksopa, T., Liu, Kris, Tiyasirichokchai, Tiya, Wong, Jonny, Pilgrim, Rory, Uddin, Akib, Corrado, Greg, Peng, Lily, Chou, Katherine, Tse, Daniel, Stringer, Jeffrey S. A., Shetty, Shravya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553916/
https://www.ncbi.nlm.nih.gov/pubmed/36249461
http://dx.doi.org/10.1038/s43856-022-00194-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553916/
https://www.ncbi.nlm.nih.gov/pubmed/36249461
http://dx.doi.org/10.1038/s43856-022-00194-5

Ejemplares similares